FÖRELÄSNING V.5 TRUE/FALSE

Question 1

AV and ADAS may use driver monitoring systems to understand human behaviour so that warnings/interventions and automated driving may become safer.

Answer 1

TRUE

Question 2

Driver monitoring systems are based on vehicle kinematics and estimate the risk of a crash.

Answer 2

FALSE

Question 2

Radars are often used for driver monitoring systems.

Answer 2

FALSE

Question 2

Glance behaviour may help estimate distraction because eyes-off-road may indicate that the driver is not attentive to the driving task.

Answer 2

TRUE

Question 3

Camera-based systems may help estimate drowsiness by looking at blink duration.

Answer 3

TRUE

Question 4

Heart rate may be provided by cameras or electrodes

Answer 4

TRUE

Question 5

A glance may include a few fixations and saccades.

Answer 5

TRUE

Question 5

Although DMS should help avoid crashes, they may only estimate driver state from a few metrics that may describe some specific aspects of human behaviour.

Answer 5

TRUE

Question 6

Glance frequency indicates how often drivers look at the center stack.

Answer 6

Generally, not TRUE

Question 7

Visual time sharing may occur when drivers write an SMS while driving

Answer 7

TRUE

Question 8

Glance entropy is likely to increase as you talk on the phone while driving

Answer 8

FALSE

Question 9

Secondary tasks may affect glance behaviour

Answer 9

TRUE

Question 10

Glance behaviour and secondary tasks may be used as surrogate measures for distraction

Answer 10

TRUE

Question 11

Naturalistic driving data are data collected by drivers during their daily routine

Answer 11

TRUE

Question 12

Naturalistic datasets may be collected from instrumented vehicles.

Answer 12

TRUE

Question 13

Test engineers are typically collecting naturalistic data on test-tracks.

Answer 13

FALSE

Question 14

Naturalistic data are not biased (or affected by confounding variables)

Answer 14

FALSE

Question 15

Naturalistic datasets may support development and evaluation of ADAS, for instance by capturing the genuine driver behavior just before a crash happens

Answer 15

TRUE

Question 16

Because of the nature of the data collection, naturalistic data can prove association between road-user behavior and crashes but not necessarily causality.

Answer 16

TRUE

Question 17

Naturalistic data include more near-crashes than crashes, and seldom include high-severity crashes

Answer 17

TRUE

Question 18

The driver response process is a sequence of observable behaviours

Answer 18

TRUE

Question 19

By monitoring the driver response process a driver monitoring system may sense if the driver is distracted.

Answer 19

TRUE

Question 20

Standard deviation of lane position shows how “accurately” a driver keeps within the lane.

Answer 20

TRUE

Question 20

Reaction time explains the chain of events leading to a crash

Answer 20

FALSE

Question 21

If reversal rate goes up and SDLP goes down, we may witness a higher/more optimal lane centring behaviour

Answer 21

TRUE