Tentor Flashcards

(60 cards)

1
Q

The figure below provides a graphical representation of the Zero Risk Theory model. Which of the following statement(s) related to this model is/are correct?
a. Subjective risk is the same for all drivers
b. Drivers seek no risk and avoid behaviour that elicits fear or anticipation of fear
c. Driver’s motivation influences the expectancy of how a driving situation will
evolve
d. Driver’s motivation does not influence the perception of stimuli from the
external environment

A

b, c

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2
Q

Please explain what a driver model is (0.5 points)

A

A driver models is a description of driver’s behavior in terms of what he/she usually does and how he/she reacts in specific driving situation

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3
Q

Please explain how driver models can support the evaluation of the safety benefits introduced by a specific active safety system (1.5 points). You can use an example (e.g. evaluation of safety benefits introduced by Forward Collision Warning) to support your description.

A

Driver models – together with vehicle models and active safety system models – can be used in what‐ if/counterfactual simulations to calculate the safety benefits expected by a specific active safety system before its introduction in the market (‘a priori’ safety benefit evaluation). Examples of driver models for those simulations include models of drivers’ glance behaviour, model of drivers’ braking behaviour, models of drivers’ reactions, etc. For example, in the ‘a priori’ evaluation of safety benefits introduced by FCW, the driver models can be used to estimate how drivers would react to a warning issued by the system.

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4
Q

The figure below provides a graphical representation of the Hierarchical Control Model. Please describe the differences between strategic, maneuvering and control level (1 point)

A

The strategic level focuses on planning (e.g. trip goals, route selection), the maneuvering level focuses on anticipation (e.g. headway selection, lane position) and the control level focuses on action (e.g. speed control, steering control)

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5
Q

Explain the value of driver models for road safety research (1 point)

A

To understand driver behavior for different purposes:
- Design/evaluation of active safety systems and autonomous driving:
o Predict safety benefits(e.g.decreaseincrashes)
o Define settings(e.g. warning times)
o “Imitate”humanbehavior(autonomousdriving)

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6
Q

List the 4 main categories of driver models according to the classification provided
during the lectures (0.5 points)

A
  • Control models
  • Hierarchical models
  • Motivational models
  • Information processing models
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7
Q

The figure below represents the 3-level servo-control model of steering. Please describe
the Anticipatory control and the Compensatory control, with respect to inputs received, outputs provided, and functionality of the subsystems (e.g. precognitive control, position error control) included in each loop (1 point)

A

The Anticipatory control applies an input (steering wheel torque) based on the anticipation of desired path using the 2 modules below:
- Pursuit control: based on visual inputs (e.g. road curvature)
- Precognitive control: based on acquired skills
The Compensatory control applies an input (steering wheel torque) based on the compensation of error relative to the lateral position and heading angle

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8
Q

The graphical representation of the Hierarchical Control Model (Michon, 1985) is shown in the figure below. Based on your knowledge of the theory and on the figure provided, please mark which of the statements below is/are correct:

a. The strategic level involves actions that serve the task of keeping a vehicle on a predetermined course (e.g. speed control, steering).
b. The strategic level could be successfully supported by a GPS navigation system.
c. The control level defines the general planning stage of a trip (e.g. definition of trip goals, modal choice).
d. The effective time period in which the actions occur increase if the level is higher (e.g. an action at the strategic level will require more time than an action at the control level).

A

b, d

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9
Q

The graphical representations of “Risk homeostasis theory” (Wilde, 1982) and “Zero risk theory” (Näätänen & Summala, 1976) are shown, respectively, in Figure 1 and Figure 2. Based on your knowledge of the theories and on the figures provided, please answer the statements below

a) According to the “Risk homeostasis theory”, drivers normally avoid behaviours that elicit fear.
b) According to the “Zero risk theory”, drivers usually seek the highest possible risk.
c) According to the “Risk homeostasis theory”, if Anti‐lock Braking System is introduced in vehicles, the drivers will not change their ‘Adjustment action’ (box d in Figure 1).
d) According to the “Risk homeostasis theory”, drivers attempt to maintain a constant ‘Target level of risk’ (box a in Figure 1).

A

d

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10
Q

Two vehicles are travelling in a vehicle-following scenario:
Distance D=120 m; ego-vehicle velocity, Ve=30m/s; target vehicle velocity, Vt=20m/s. The acceleration of the ego vehicle is Ae=-2 m/s2 and that one of the target vehicle is At=-8 m/ s2 (braking). Which of the following answer(s) is/are true?
a. Time Headway is less than 3.5 s.
b. Time to collision (TTC) is less than 10 s (without considering accelerations).
c. Enhanced time to collision (including accelerations; ETTC) is larger than time headway.
d. Time Headway is 4.75 s.

A

Answer: c

a: Time Headway = D/Ve = 4s => false
b: TTC = D/(ve-vt) = 12 s => false
c: ETTC = t => ((1/2)(Ae-At)t^2)+(Ve-Vt)t - D = 0 => t ~ 4.87s
d: false

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11
Q

Two vehicles are travelling in a vehicle-following scenario:
Distance D=100 m; ego-vehicle velocity, Ve=30m/s; target velocity, Vt=15m/s. The acceleration of the Ego vehicle is Ae=3 m/s2. The acceleration of the Target vehicle is 0 m/s2. Which of the following answer/s is/are true?

a. Time Headway (TH) does not depend on Ae.
b. Time Headway (TH) does not depend on Ve.
c. Time Headway (TH) = 3.0 s.
d. Time Headway (TH) > 4.0 s.

A

Answer: a

a: True, TH = D/Ve
b: False
c: False TH = 100/30 = 3.33s
d: False

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12
Q

In the same scenario presented in the previous multiple-choice question, which of the following answer/s is/are true when the acceleration of the Ego vehicles is Ae = -2 m/s2 and the acceleration of the Target vehicle is At = -3 m/s2? Distance D=100 m; ego-vehicle velocity, Ve=30m/s; target velocity, Vt=15m/s. (Note TTC is to be calculated using also accelerations).

a. Time to collision (TTC) is larger than Time Headway (TH).
b. Time to collision (TTC) is lower than Time Headway (TH).
c. Time to collision (TTC) > 4.0 s.
d. Time to collision (TTC) < 5.0 s.

A

Answer: a, c

TH = D/Ve= 100/30 = 3.33s
ETTC = t => ((1/2)*(Ae-At)*t^2)+(Ve-Vt)t - D = 0 => t ~ 5.6s
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13
Q

For a few exercises in this course, you used the public data from the 100 Car Naturalistic Driving Study. Which of the following statements about these data is/are correct?
a. The vehicle dynamics (e.g. speed, acceleration) for several rear-end crashes are available in this dataset.
b. This dataset includes crashes and near crashes in equal amount.
c. This dataset includes glance location.
d. A way to check the quality of the yaw rate in this dataset is to determine the extent to
which it correlates with lane offset.

A

a, c

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14
Q

Below is a figure of the Heinrich’s triangle. Which of the following statements about the Heinrich’s triangle is/are true.

a. This triangle suggests that a relation between crashes and near-crashes exists but it does not explain what this relation may be.
b. The Heinrich’s triangle provides a framework for the development of safety systems, including the vehicle, the driver, and the environment.
c. Accident databases may estimate the top layers of the Heinrich’s triangle.
d. Naturalistic data include events at all levels of the Heinrich’s triangle for traffic safety.

A

a, c, d

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15
Q

What is naturalistic data? (1 point)

A

Naturalistic data is big data collected in real‐traffic, by road users performing their usual daily activities.

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16
Q

Give two different examples of how naturalistic data can be used for development and evaluation of active safety. (1 point)

A

a. Test how active safety systems performs in the real‐world.
b. As an input for scenarios in what‐if (counterfactual) analysis.

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17
Q

List three difference between data in crash databases and naturalistic data. (1 point)

A
  1. Crash databases include severe crashes whereas naturalistic data are often limited to minor crashes.
  2. Naturalistic data include the pre‐crash phase, accident database may only have limited information about the pre‐crash phase, either from interviews or from crash reconstruction.
  3. Naturalistic data capture driver behavior (e.g. glance behavior, evasive maneuvering, etc.), accident databases have very little information about the driver, often limited to demographics and medical records.
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18
Q

The Figure below shows speed from one event in the 100 car naturalistic driving study. Speed was sampled at 10 Hz. Which of the following statements related to this distribution is/are correct?

a. The vehicle appears to have stopped for some time in this event.
b. The vehicle kept an average speed above 25 mph in this event.
c. The vehicle decelerated harder than 4 m/s2 in the end of this event.
d. The vehicle reached a maximum speed higher than 60 km/h in this event.

A

b, d

mph -> kmh = 1.6 * mph

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19
Q

The Figure below shows the distribution of speed from one event in the 100 car naturalistic driving study. Speed was sampled at 10 Hz. Which of the following statements related to this distribution is/are correct?

a. This distribution is normal.
b. The median of this distribution is larger than 15 mph.
c. This distribution includes impossible values for speed.
d. The vehicle appears to have stopped for some time in the event.

A

d

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20
Q

Which of the following information can be available in naturalistic databases?

a. Number of road users involved in the crash.
b. Whether the road users involved in the crash were intoxicated.
c. Geographical coordinates of the place of the crash.
d. Steering wheel angle at the time of the impact.

A

a, c, d

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21
Q

List at least 5 signals collected in the 100 car dataset. (1 point)

A

Any list of 5 signals from the 100 car time series dictionary (a document you used for the exercise) would be ok, as an example: network speed, longitudinal acceleration, gas pedal, brake pedal, and GPS speed.

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22
Q

Explain with an example how the 100 car dataset can be used to inform the design of
an active safety system (2 points).

A

Possible answers should be focused on the use of naturalistic data to determine scenarios of interest of the system or parameters to calibrate the system. Another possible use of the data is identifying the customers who would benefit the most from the system in terms of age, gender, etc… An example of the latest use would be to determine whether young drivers are more prone than older drivers to experience near crashes presenting the same scenario that your system addressed. Another possible use of the data is to characterize lane offset dynamics in side crashes to determine the best intervention point for a lane departure warning.

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23
Q

Which of the following information can be available in naturalistic databases?

a. Age of the road users involved in the crash.
b. The type of injuries reported by the driver involved in the crash.
c. Geographical coordinates of the place of the crash.
d. Gear engaged at the time of the impact.

A

c, d

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24
Q
  1. The Society of Automotive Engineers proposes 6 mutually exclusive levels of automation.
    a. Explain how the operational design domain (ODD) is used discriminate between levels of automation (1 point).
    b. Explain how the object and event detection and recognition (OEDR) is used discriminate between levels of automation (1 point).
    c. Explain how the fallback strategy is used discriminate between levels of automation (1 point).
    d. What are the main human-factor concerns for level 3 automation? (1 point)
A

Answer to a and b related to the SAE levels, the table below shows how ODD sets the difference between L4 and L5, whereas OEDR plays a role from L3 onwards.

c. Fallback strategy sets the difference between L3 and L4‐5. To obtain full grades, students were expected to either draw the table below or explain it in relation to ODD, OEDR, and fall back.
d. the main human factors problem with L3 is that the driver is the fallback solution. She/he supposed to take control of the vehicle in critical situations that the vehicle is not able to resolve. Thus, a distracted driver may be called back to the driver task suddenly to resolve a complex situation. The expectation that a driver may take control in critical situations after having been out of the loop for a long while is troublesome for human factors. In fact, humans are not good at monitoring situations: they get bored and loose concentration. It also takes some time for human to chance their “mental state” from being a passenger to be in charge of driving the vehicle. This is why some OEMs do not believe L3 is safe enough to be implemented on road.

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25
The Society of Automotive Engineers proposes 6 mutually exclusive levels of automation. a. Explain Level 3 from the SAE level of automation, more specifically (1 point) i. Are both lateral and longitudinal control automated? ii. Is the driver supposed to monitor the system during Level 3 automation? iii. Who is responsible for potential fallbacks?
i. yes ii. yes iii. The driver
26
What is the operational design domain (ODD) in automated driving and how does it relate to the differentiation of level 4 from level 5 automation? (1 point)
The ODD defined in which condition the system is supposed to provide automation. For level 4 the ODD is still limited, for level 5 the ODD is not limited.
27
Which of the following questions on automation is/are correct? a. The tendency to avoid effort and enjoy infotainment can erode safety. b. Designing the operating envelop is an important design strategy. c. People frequently respond to technology as they would to a person, making trust particularly relevant for understanding automation. d. Dread risk is the same as engineering risk.
a, b, c
28
Which of the following statements related to autonomous driving is/are correct? a. If a car is equipped with autonomous emergency braking, then it can reach a level 1 automation. b. If a car is equipped with ACC (adaptive cruise control), then it can reach a level 2 automation. c. Level 5 in the SAE scale for the levels of automation is equivalent to level 3 for the NHTSA scale. d. Level 1 of automation indicates no automation.
a
29
The figure below (from Van Arem et al. 2013) describes the development and evaluation process for a system (at a very high level). Which of the following statements about this diagram is/are correct? a. This is a V-diagram that explains how development and evaluation happens chronologically (from left to right) and how the development starts from a more general description of a problem to reach a specific implementation. b. Hardware and software development are most impacted by human factor issues. c. A cost benefit analysis would be part of the validation plan. d. A safety benefit analysis would be part of the verification plan.
a
30
Design and evaluation are related and active safety is no exception. a. Please explain how the two figures below capture different aspects of the relation between design and evaluation of active safety systems (2 points). b. What is a use case? (0.5 points) c. Provide one example of use case for frontal collision warning (FCW; 0.5 points).
a. The first figures shows how development and evaluation are part of a continuous process, where evaluation inform development, and development improves safety systems, thus creating new opportunities/needs for evaluation. The second figures shows how both development and evaluation happen in steps. From a system to a component level for design and from component to system level for evaluation. Although design happens before evaluation, different steps in design correspond to different steps in evaluation. b. A use case is a (visual) description of the intended use/application of a system. c. In a car following scenario a target vehicle moves at 30 m/s and brake harshly (-6 m/s2), the ego vehicle follows at an equal speed at a distance of 100 m, time to collision goes eventually below 1.5 and a FCW warning is activated.
31
Which of the following statements is/are true regarding the near-infrared cameras and the difference between near-infrared and far-infrared cameras? a. Near-infrared cameras typically required active illumination, while far-infrared cameras are passively recording “heat”. b. Near-infrared cameras are more sensitive to blooming and glare from other vehicles than far-infrared are. c. Near-infrared cameras cannot be used for stereo vision applications d. Near-infrared cameras typically provide a color image.
a, b
32
Which of the following statement(s) is/are correct? a. A saccade is when the driver pause the eye (“focus”) on a certain position b. Intrinsic camera calibration aims to describe, for example, image distortion parameters and focal length c. A CMOS camera has individual pixels with individual voltage converters d. Interlace video does not cause problems as long as the camera is stationary (even if the car it is mounted on is moving)
b, c
33
Which are the correct statement(s) about the difference between time-of-flight cameras and FIR cameras? a. Time-of-flight cameras actively illuminate the scene while FIR cameras are passive sensors. b. Time-of-flight cameras have worse performance at night than during daytime, while the opposite is true for FIR cameras. c. FIR cameras are good for measuring distances to objects d. Time-of-flight cameras are typically good for applications with objects at distances ranging from 15-50m
a
34
Which of the following statement are correct with respect to Global Positioning Systems (GPS): a. Differential GPS is primarily based on the use the phase information in the satellite transmissions to improve the accuracy of the positioning. b. Horizontal Dilution of Precision (HDOP) is a measure of the positioning error related to the configuration of the GPS satellites. c. WGS84 is a high precision differential GPS positioning service that uses interpolation between available reference stations to improve the position. d. Standard GPS positioning (without differential GPS) is typically accurate enough for stop-sign assist warning applications but not for stop-sign assist control applications.
b
35
Which of the following statements about eye tracking is correct? a. Eye tracking is currently a research tool to better understand driver impairments. b. An eye tracking system estimate the pose of the arms of the driver. c. Eye tracking information may improve active safety systems by providing more information on driver behavior and alertness to the traffic situation. d. An eye tracking system provides the direction of gaze and head movement of the driver.
a, c, d
36
In the context of GPS positioning. What is the "Multi‐path error"? a. Error due to satellite elevation angles. Zenit versus low satellite angles. b. An error due to satellite clocks being out of synch. c. An error that can be removed directly by using Differential‐GPS. d. When the satellite signal bounce of e.g. buildings producing an error due to having traveled a longer distance.
d
37
A 400x300 pixels camera is used to estimate the distance of an object 2 meters wide and 1 meter high. When the object is 4m away, it covers 200x100 pixels in the camera frame. It is assumed that camera lenses do not induce any distortion or deformation of the obstacle and that the camera and the object are on a flat leveled plane. Which of the following statements are right? a. The resolution of the camera is higher on the horizontal axis than on the vertical one. b. If the same object is 20 m away its height is 20 pixels. c. If the same object is now 2 m away from the camera, its size in the camera frame is 400x200 pixels. d. This camera cannot tell the difference when the same obstacle is 800 m away or 810 m away.
a, b, c, d a. horizontal: 400 pixels and vertical: 300 pixels => true b. DistToObject = k * ImageWidthPixels/ObjPixWidth 4 = k * 300/100 => k = 4/3 x = (4/3) * 300 / 20 = 20m => true c. width: 4 = k * 400 / 200 => k = 2 => 2 = 2 * 400 / x => x = 400 height: 2 = (4/3) * 300 / x => x = 200 Size in camere frame = 400x200 pixels => true d. ``` 800 = (4/3) * 300 / x => x = 2 pixels 810 = (4/3) * 300 / x => x = 2.025 pixels ``` => true, cannot tell the difference
38
What is valid description of time‐of‐flight (ToF) cameras? a. ToF cameras can only “see” distances up to a fixed (short) range (e.g. 15m). b. The speed of objects in the ToF camera image can be retrieved using the Doppler effect. c. ToF cameras can be used for in‐vehicle out‐of‐position detection (passive safety). d. ToF cameras is commonly used in active safety applications that need lane position.
a, c
39
What is true for interlace cameras versus progressive scan cameras? a. Image processing of moving objects in interlace cameras is faster than for progressive scan cameras since only half of the image needs to be process at a time. b. The camera captures the image in two subsequent images, one with all odd lines and one with all even lines. c. Interlace is a problem only when objects in the scene is moving, but not when the camera itself is moving. d. For pedestrian detection systems, using progressive scan cameras is the more appropriate choice compared to interlace cameras.
b, d
40
The following statements are about the difference between LIDARs, time‐of‐flight cameras and RADARs. Which one/s is/are true? a. The time‐of‐flight camera transmits radio waves while the LIDAR transmits light. b. The time‐of‐flight camera has range limited by the transmitted signal’s pulse length, while the LIDAR range is primarily limited by the reflectivity of objects the transmitted signal encounters. c. For both LIDARs and RADARS, speed can be calculated with the Doppler effect. d. The angular resolution for most scanning LIDARs is better than most RADARs.
b, d
41
According to the diagram from Brännström et al. 2014 below, which of the following statements is/are correct? a. Drivers are more likely to avoid a collision if they brake than if they steer, if the host vehicle speed is 40 km/h and time to collision is 2s. b. Drivers are more likely to avoid a collision if they brake than if they steer, if the host vehicle speed is 20 km/h and time to collision is 1.1s. c. Autonomous emergency braking (AEB) is the only way to avoid a collision when the host vehicle speed is 60 km/h and time to collision is 1.5s. d. If the host vehicle speed is 90 km/h and time to collision is 0.6s, AEB can still mitigate the consequence of the crash but it is not likely to avoid the collision.
d
42
The figure below shows how a standard data frame is coded on CAN. Which of the following statements is/are correct? a) The ARBITRATION FIELD of a data frame decides its priority: the lowest the ID the higher the priority. b) The DATA field (0-8 bytes) may only contain the value of one signal. c) The CRC field describes which CAN protocol should be used to decode the data frame. d) Some of the bits of a data frame are set to either 0 or 1 and are used to verify the integrity of the frame itself.
a, d
43
The figure below show the amplitude response of a filter. Interpreting the figure below, determine which of the following statement(s) is/are correct a) This is a high-pass filter. b) The cut-off frequency of this filter is 1 Hz. c) A sine wave with 1-Hz frequency would not be attenuated by this filter. d) The roll-off of this filter is 10 dB per octave (an octave is a 2-time increase in frequency).
c
44
The figure below shows the structure of a standard data frame from the CAN bus: a. If the signal speed has a range from 0 to 127 km/h and we want to transfer this signal with a resolution of 1 km/h, how many bits would we need? (1 points) b. Is the DATA field of a single CAN frame sufficient to transfer both the speed signal (as defined above) and an acceleration signal, with range -15 to 15 m/s2 and a resolution of 0.01 m/s2? (Motivate your answer; 1 points) c. Give an example of an error detection scheme used in the CAN bus (1 point).
This question refers to the lecture: 160912 - Signals and CAN.pdf a. Speed requires 128 different values, which can be coded with 7 bits. b. Acceleration would require ~30/0.01 different values, thus 12 bits. As we still only need less than 3 bytes, yes, there is enough space in this field that can be up to 8 bytes long. ``` c. See slide 55. Any of the following error detection scheme would be a good answer if correctly explained. For explanations see (AN-1123.pdf) Error detection schemes: i. •CRC check ii. •Transmission bit verification iii. •Bit stuffing rules iv. •Fixed-form bit field checks v. •Mandatory message ACK ```
45
The figure below shows the structure of a standard data frame from the CAN bus: a. Explain how the IDENTIFIER field is used to resolve conflicts on the bus (1 points) b. Explain what the DATA field is used for (1 points) c. Explain what the CRC field is used for (1 points)
a. The field IDENTIFIER is a unique ID for each ECU on the CAN bus. The lower ID always wins: in other words the ECU with the lowest ID get to talk first in a possible conflict with other ECU. If more than one ECU starts transmission at the same time, they all listen to the CAN and as soon as an ECU notice that another ECU with a lower ID is transmitting, the ECU with a higher ID stops transmission. b. The DATA field is used to transmit data, signals in our case. More than one signal can find place in this field. DLC specifies the length of DATA. c. The CRC field is used to verify that no error occurred in transmission and it is calculated by all ECU listening to the CAN as new message are transmitted. When a message is transmitted with a different CRC than the one calculated on the fly by the ECU listening, an error must have occurred and the error is notified on the CAN bus. If no error is detected, there is a high chance that the frame is correct.
46
Which of the following statements about signal filtering are right? a. A Kalman filter is convenient for online (real‐time) signal processing because it does not introduce delays. b. A median value obtained by using a moving median filter is not affected by a value that is much higher than the other values in a “window” as much as a mean value obtained by using a moving average filter. c. Low‐pass filters allow the low frequency components of an input signal to pass through while attenuating (reducing) high frequency components . d. A moving median filter may not produce unrealistic values when calculated on a “window” containing an odd number of samples.
a, b, c, d
47
Which of the following statements related to signal processing are correct? a) Missing values in a signal can be calculated by interpolation. However, the calculated samples are artificial. In general, the more samples are missing in a row the less reliable is the interpolation process. b) The optimal sampling frequency depends on the dynamics of the system, thus a signal changing slowly requires a lower sample frequency than a signal changing faster. c) There is no reason to set a high sampling frequency, we can always upsample a signal a posteriori and get the same information. d) A signal with a broader range of values will take more space on the CAN bus, i.e. will require a higher number of bits to be coded, than a signal with the same resolution but narrower range.
a, b, d
48
Explain what is the purpose of the CAN bus in a motor vehicle (1 point). Draw how a frame from the CAN bus looks like (1 point). How many bits would you expect on the CAN bus for a signal coding the gear status, (explain also why; 1 point)?
This question refers to Marco’s lecture: 130912 ‐ Sampling‐StatisticalProperties‐CAN. The CAN bus consist of two wires which link ECUs and sensors. The purpose of the CAN bus is to provide communication among ECUs and sensors. For instance the ECU with ACC function can use the CAN bus to communicate with the BCM and TCM. The CAN bus significantly reduce wiring. Possible status of the gear could be 1,2,3,4,5,R,N or DNRL. In the first case you would expect 3 bits (8 combinations) in the second 2 (4 combinations) may be enough. However, a discussion on potential combination to signal an error would be a merit.
49
Which of the following statements related to signal processing are correct? a. A high‐pass filter lets high frequency pass and stops low frequencies. b. A low‐pass filter lets high frequency pass and stops low frequencies. c. The quantization error depends on how many bits we use to code the signal. d. Sampling is a tradeoff: higher sampling frequencies require more computation and storage space. Low sampling frequencies may lose information.
a, c, d
50
In a field trials the speed signal from a car CAN bus was collected, this signal is plotted below: a. Explain what car manoeuvre could have been compatible with this signal (0.5 points) b. Do you see any possible periodic noise on the signal? Approximately, at what frequency? (0.5 points) c. Sketch a possible frequency diagram for this signal. (1 point) d. Sketch a possible distribution diagram for this signal. (1 point)
This question refers to Marco’s lectures: 140915 - Frequency Domain and Digital Filtering and 140911- Synchronization and Statistical Properties. a) A car accelerates for then braking to a complete stop. Since the car travelled 30 mph and stopped in 2-3 s we can guess deceleration was about 5 m/s2 suggesting a relatively harsh braking manoeuvre. b) A periodic sine-wave noise is clearly visible, approx.. 1-2 Hz would be a reasonable guess. c) The diagram should clearly show that most of the spectrum is at low frequencies and a peak (almost a simple vertical line) is present at approx.. 1-2 Hz. d) This distribution should only present values between -5 and 35 mph. Bins around 15, 30 and 0 should be taller than the others as the car was travelling at these speed for a longer time.
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Which of the following statements about the CAN bus is/are right? a. The CAN bus enables ECUs to communicate. b. Max 2 ECUs can send on the CAN bus simultaneously. c. Max 3 ECUs can read from the CAN bus simultaneously. d. Data on the CAN frame is 0‐8 bytes.
a, d
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In a field trial the acceleration and yaw‐rate signals were collected from the CAN bus (with a 10 Hz sample frequency) while a car was driving, these signals are plotted below: a. Looking at the signals, can you guess whether the lateral acceleration is reported in m/s2 or in g? Please motivate your guess. (0.5 points) b. Can you describe which kind of manoeuvre may have generated the signals you see in the Figure above? (0.5 points) c. Are yaw rate and lateral acceleration in the Figure above highly correlated? Positively or negatively? Is a high correlation between yaw rate and lateral acceleration reasonable? Why? (0.5 point) d. Sketch a possible distribution diagram for the lateral acceleration signal. (0.75 point) e. Sketch a possible frequency diagram (only amplitudes) for the lateral acceleration signal. (0.75 point)
This question refers to Marco’s lectures: 140915 ‐ Frequency Domain and Digital Filtering and 140911‐ Synchronization and Statistical Properties. a) m/s2, because a 5 g lateral acceleration is impossible for a normal car to experience in normal driving. b) A possible explanation could be the following. As the yaw rate and acceleration show these are small adjustments of the longitudinal trajectory. Probably the driver wants to align the car to some infrastructure as when parking close to the curb Assuming positive yaw rate value indicate turning left, there are two adjustments to the left followed by one to the right. The spiky signals probably result from hitting “something”. Going back to the parking example, these spikes may indicate that the car hit the curb. c) Yes the two signals are highly (and positively) correlated, in fact their behaviour over time is very similar, for instance when lateral acceleration increase so does yaw rate and when lateral acceleration decreases so does yaw rate. Yes it is reasonable because vehicle dynamics clearly require for lateral acceleration to depend on the vehicle rotation and specifically on the speed of such rotation which is what yaw rate measures. d) This distribution should only present values between ‐5 and 5 m/s2. Bins around 0 should be taller than the others as the car was travelling straight most of the time. Bins with positive values should be higher than bins with negative values. Below you can find a perfect solution which is not expected from the students. e) This spectrum should only present values between 0 and 5 Hz (10 Hz sample freq). Most of the spectrum should be below 2Hz and the spectrum should more or less monotonically decrease while moving toward the higher frequencies. It would be reasonable a relatively small component at 0 freq (indicating the constant value in the Fourier transform from the mean of the signal). Since the adjustments are almost periodic, one every 10 sec, a peack can be expected around 0.1 Hz. Below you can find a perfect solution which is not expected from the students.
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Below, is a figure from Brännström et al. 2014, showing how active braking and steering systems may intervene in different conditions. a. Explain what is “threat assessment algorithm” for an active safety system (1 point) b. Explain what a “decision making algorithm” may be expected to do in an active safety system operating according to the figure below. (1 point) c. What does the area in the bottom of the figure below (marked with a white pentagon) indicate? (1 point) d. What does the area with the star indicate? (1 point) e. According to the figure below, what are the possible strategies to avoid a collision when speed is 50 km/h and TTC is 1.1 s? Please, articulate your answer. (1 point) f. According to the figure below, is it possible to avoid a collision when speed is 60 km/h and TTC is 0.5 s with autonomous braking? Please, articulate your answer. (1 point)
Slide 35 in the lecture 150924 - Safety Indicators and Threat Assessment (Theory).pdf reports this same figure and indicate what each area means in terms of system operation. In the same lecture threat assessment and decision making are explained with reference to scientific articles. The pink area indicate where the collision can only be mitigated. In the area with the blue star the driver can still avoid the collision by either braking or steering. For the point e) both AEB and AES would be able to avoid the crash, however the AEB could only mitigate the crash in the conditions of point f (pink area).
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The following questions are about human factors, a topic that was largely covered in the lectures from Prof. Smith. a. What is task demand? (1 point) b. Provide an example of driving when the task demand is relatively high. (1 point) c. Provide an example of driving when the task demand is relatively low. (1 point) d.What is cognitive workload? (1point) e. Explain how cognitive workload differs from task demand. (2 points)
a. What is task demand? Task demand is all the stuff that must be done to perform a task. To perform the task, you MUST do certain things. The task demands it. Task demand is imposed by the task and is independent of the performer. The example in the lecture notes concerns riding a bicycle. Riding demands that you: • Balance, • Pedal, • Visually scan, • Follow rules, ... b. Provide an example of driving when the task demand is relatively high. The task demand is high on a crowded road in an unfamiliar town with lots of jaywalking pedestrians on a rainy night. Provide an example of driving when the task demand is relatively low. The task demand is low on a wide freeway in full daylight, with no oncoming traffic, few others going your direction, no pedestrians, and no cops. c. What is cognitive workload? Cognitive workload is the level of effort at thinking that an individual must perform to meet task demands. More precisely, it is the subjective, individual experience of the expenditure of mental effort in response to task demand. e. Explain how cognitive workload differs from task demand. Cognitive workload is a function of both the task and the individual. The task imposes its task demand. The driver’s response to that demand - workload - is, in turn, a function of the driver’s traits and states. Traits are enduring qualities that can be modified only with practice over time. For example, skilled drivers have different traits than novice drivers. Workload varies as a function of experience. States are temporary fluctuations in psychophysiology. For example, a bad burrito can put you in a foul state. The first kiss from a new flame can put you in a blissful state. Workload varies as a function of state. In sum, the workload experienced by different people facing the same task demand varies from person to person. For the same person, it can change from place to place, time to time.
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Which of the following statements about wireless communication in the context of active safety is/are correct? a. ETSI sets several standards for wireless communication. b. Assuming perfect error detection in the MAC layer, no erroneous payloads will reach the destination. c. Ad-hoc networks has potential for low delay. d. The biggest drawback in using ad-hoc networks is that coverage is always hard to achieve.
a, b, c
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Cooperative applications make use of wireless communication to improve transportation. Give an example of a cooperative safety application using V2V communication and describe (and motivate) its requirements in terms of: i. Type of communication ii. Transmission mode iii. Frequency (update rate) iv. Latency v. Data to be transmitted vi. Range of communication (0.5 points for each reasonable requirement; total 3 points)
Please see the example on 45‐47 in the lecture 170928 ‐ Cooperative Systems.ppt
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What is a Local Dynamic Map and how can it support cooperative applications? (please give at least one example in relation to one specific cooperative application; 0.5 point). To which layer of the stack protocol (see figure below) belongs the LDM (0.5 point)?
An LDM is a local database including information about the environment. Part of the information in the LDM is built dynamically as a vehicle travels, senses the environment, and communicates with other vehicles and the infrastructure. An LDM presents several layers where maps, other vehicles and road‐users, and other geographical information is stored. For a vehicle receiving a beacon from an ambulance, the LDM may help the application layer understand whether the ambulance will pass on the same road of the ego vehicle (and warn accordingly) or not. The LDM is part of the facility layer and supports the application layer.
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A cooperative systems architecture may be visualized using the ETSI protocol stack below. Which of the following statement(s) is/are correct? a. 802.11p is concerned with the ITS Facilities level. b. DSRC is concerned with the ITS Access Technologies level. c. Firewalls and certificates are handled in ITS Security. d. The local dynamic map would be part of the ITS facilities.
b, c, d
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Cooperative applications make use of wireless communication to improve transportation. a. Give an example of a cooperative safety application using V2V communication (1 point; please explain what is the purpose of the application and which data is transferred from where to where). b. What is DSRC and how does it relate to 802.11p? (1 point) c. What is a Local Dynamic Map and how can it support cooperative applications? (please give at least one example in relation to one specific cooperative application; 1 point)
This question refers to Marco’s lecture 160926 - Cooperative Systems.pdf a) A possible example is emergency vehicle notification; in this case, an emergency vehicle, such as an ambulance, would broadcast its position, heading, and speed to the vehicles around. These vehicles should then warn the driver if they would be likely to end up on the ambulance path. b) Dedicated short-range communication is a set of frequency reserved for cooperative applications, this is part of the physical layer enabling the 802.11p wireless data transmission. c) An LDM is a database including information about the environment and other vehicles connected in a cooperative environment. Each vehicle has a unique LDM which is continuously updated as new information becomes available from other vehicles or the infrastructure. Cooperative applications relay on the LDM for threat assessment and decision making.
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# Choose a cooperative application and explain its function (1 point), use this application to explain how the following issues could hinder its deployment: a. Errors in data transmission (0.5 points) b. Data security (0.5 points) c. Positionestimationerror(geographicallocation)(0.5points) d. Data ownership (0.5 points)
During this lecture we looked into 7-8 different functions, any would work for this exercise. Issues about data security, ownership, and position estimation are discussed in the first lecture. Issues about errors in data transmission are addressed in the second lecture. For the emergency vehicle application. Error in transmission may make the application not useful if the message arrives corrupted (or never) to the cars that are supposed to let the emergency vehicle pass. Error in position may end up confusing drivers who do not need to pull over to let the emergency vehicle pass. Security is an issue because if somebody hacks the emergency vehicle signature, then that driver could “pretend” to be driving an emergency vehicle and demand the right of way. Ownership for this application is not an obvious hinder, nevertheless could be an issue: for instance, the driver of an ambulance could come late to the hospital and this delay could cause harm to the patient. If the delay would be caused by the driver forgetting to activate the application, depending on whether s/he owns the data or not, the data may be used in a legal trial or not.