Introduction to Self Driving Cars Answer All Weeks

In this blog you will find the correct answer of the Coursera quiz Introduction to Self Driving Cars Answer All Weeks mixsaver always try to brings best blogs and best coupon codes

Week- 1

Module 1: Graded Quiz

1.
Question 1
Scenario 1: You’re at home and need to drive to work

During the trip, you will be performing OEDR tasks. Of the tasks below, which of the following is not an example of OEDR?

1 point

Pulling over upon hearing sirens
Slowing down when seeing a construction zone ahead
Maintaining a distance to a vehicle ahead
Stopping at a red light

2.
Question 2
Which of the following tasks are associated with perception?

1 point

Responding to traffic lights
Estimating the motion of other vehicles
Planning routes on a map
Identifying road signs

3.
Question 3
Before leaving, you decide to check the weather. The forecast states that over the next few days there will be both sun and rain along with some fog. Assuming your vehicle exhibits Level 5 autonomy, which of the following weather conditions can your vehicle operate?

1 point

Clear and sunny
Windy heavy rainfall
Heavy Fog
Light rainfall
All of the above

4.
Question 4
You enter your autonomous vehicle and it drives your usual route to work. While the vehicle is driving, you decide to take a nap. For which levels of autonomy is this safe? (Select all that apply)

1 point

5.
Question 5
Scenario 2: (Assume the car is driving on the right-hand side of the road) .

You’re approaching an all ways stop sign and you want to make a right turn. Your vehicle is denoted in orange. There are 2 pedestrians currently crossing and another vehicle (denoted in green) approaching the stop sign from the left.

This task involves multiple considerations, which of them are predictive planning? Select all that apply.

1 point

Gradually decelerate while reaching the stop sign
At a stop sign, stop and look both ways before proceeding
The green car arrives at the stop sign after you and plans to travel straight through the intersection. You choose to move first.
Wait for the pedestrians to finish crossing before turning

6.
Question 6
Here are some rules for driving at a stop sign. Which of the following is an appropriate priority ranking?

1) For non all-way stop signs, stop at a point where you can see oncoming traffic without blocking the intersection

2) If there are pedestrians crossing, stop until they have crossed

3) If you reach a stop sign before another vehicle, you should move first if safe

1 point

1, 2, 3
3, 2, 1
2, 1, 3
3, 1, 2
1, 3, 2

7.
Question 7
Which of the following are off-road objects? (Select all that apply)

1 point

Stop signs
Curbs
Pedestrians
Trees
Road markings

8.
Question 8
Suppose your vehicle has lane keeping assistance, which of these objects are relevant for its performance? (Select all that apply)

1 point

Curbs
Pedestrians
Stop signs
Road markings
Trees

9.
Question 9
Which of the following sensors are used for the lane keeping assistance? (Select all that apply)

1 point

IMU
LIDAR
GPS
Barometers
Cameras

10.
Question 10
Scenario 3: You are on the highway and you see a truck in front of you. Assume the car is driving on the right-hand side of the road. There is also a blue car beside the truck in the other lane.

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Your vehicle follows the truck and maintains a constant distance away. What kind of control is this?

1 point

Lateral
Fallback
OEDR
Longitudinal

11.
Question 11
You decide to change lanes to pass a truck. What kind of decision is this?

1 point

Reactive
Rule-based planning
Immediate
Short term planning
Long term planning

12.
Question 12
Which of the following tasks are rule-based planning? (Select all that apply)

1 point

If the vehicle in front is going to slow down sharply, then avoid performing a lane change.
During a lane change, maintain our current speed or accelerate slightly
If there are vehicles directly beside us on the lane, it is unsafe to lane change.

13.
Question 13
Suppose the blue vehicle suddenly brakes and you decide to abort the lane change. If your vehicle can respond automatically and remain in its own lane, what is the minimum level of autonomy of your vehicle?

1 point

14.
Question 14
The blue vehicle returns to normal speed and you can now safely change lanes. Your car is performing the lane change, what kind of control is this?

1 point

Fallback
Lateral
Longitudinal
OEDR

15.
Question 15
Scenario 4: You are almost at work but encounter a construction site.

Assume the car is driving on the right-hand side of the road. Your vehicle is denoted in orange.

You see a construction site where the workers are repaving a road full of potholes. They are using jackhammers which can cause dust clouds.

You create the following decision tree for getting through the construction site. From the diagram, which of the following decisions should you make? (green is true, red is false)

1 point

A (True)
B (False)
C (True)
D (False)
E (True)
F (False)

16.
Question 16
Here are a set of rules for making these decisions, arrange them in an appropriate prioritization.

1) If there are no vehicles ahead, accelerate to the speed limit

2) Drive slowly in construction zones

3) If there are pedestrians or workers directly ahead in the current lane, stop

4) Yield to merging vehicles, if necessary

1 point

1, 2, 3, 4
2, 3, 4, 1
3, 4, 1, 2
3, 4, 2, 1

17.
Question 17
Scenario 5: You’re finished work and need to drive back home, but it’s nighttime.

You plan a new path home on your GPS application to avoid the construction site, what type of planning is this?

1 point

Long term planning
Immediate
Short term planning
Reactive
Rule based planning

18.
Question 18
Your new path goes through a school zone and you see the school zone sign. You decide to slow down despite there being no pedestrians or children (it’s nighttime). What sort of planning is this?

1 point

Long term planning
Rule based planning
Reactive planning
Short term planning
Immediate planning

Week- 2

Module 2: Graded Quiz

1.
Question 1
What are the differences between exteroceptive sensors and proprioceptive sensors? (Select all that apply)

1 point

Exteroceptive sensors can determine distance traveled by the vehicle, whereas proprioceptive sensors cannot.

Proprioceptive sensors are used to determine vehicle position, whereas exteroceptive sensors are used for sensing the environment.

Proprioceptive sensors do not interact with the environment, whereas exteroceptive sensors do.

Exteroceptive sensors can determine obstacle size and distance away, whereas proprioceptive sensors cannot.

Proprioceptive sensors can determine distance traveled by the vehicle, whereas exteroceptive sensors cannot.

2.
Question 2
Which of the following exteroceptive sensors would you use in harsh sunlight?

1 point

Lidar

Cameras

Sonar

Radar

3.
Question 3
Why is synchronization and timing accuracy important in the self driving system? Choose the primary reason.

1 point

Synchronization is important to ensure that sensors measure the environment at the same time.

Synchronization is important to ensure correct sensor fusion.

Synchronization is important to check sensor failure.

Synchronization is important to ensure organized computation.

4.
Question 4
Your autonomous vehicle is driving on the German autobahn at 150 km/h and you wish to maintain safe following distances with other vehicles. Assuming a safe following distance of 2s, what is the distance (in m) required between vehicles? Round your answer to 2 decimal places.

1 point
Enter answer here

83.33

5.
Question 5
Using the same speed of 150 km/h, what is the braking distance (in m) required for emergency stops? Assume an aggressive deceleration of 5 m/s^2. Round your answer to 2 decimal places.

1 point
Enter answer here

173.61

6.
Question 6
Suppose your vehicle was using long range cameras for sensing forward distance, but it is now nighttime and the images captured are too dark. Which of the following sensors can be used to compensate?

1 point

Sonar

IMU

Lidar

Radar

7.
Question 7
What are the differences between an occupancy grid and a localization map? (Select all that apply)

1 point

The occupancy grid only contains static objects, while the localization map contains only dynamic objects.

The localization map uses only lidar data, whereas the occupancy grid can use both lidar and camera data.

The localization map is primarily used to estimate the vehicle position, whereas the occupancy grid is primarily used to plan collision free paths.

An occupancy grid uses a dense representation of the environment, whereas a localization map does not need to be dense.

8.
Question 8
The vehicle steps through the software architecture and arrives at the controller stage. What information is required for the controller to output its commands to the vehicle?

1 point

Environment maps

Planned paths

Locations of obstacles and other vehicles

Vehicle state

9.
Question 9
What is (are) the role(s) of the system supervisor? (Select all that apply)

1 point

To ensure that the controller outputs are within operating range

To ensure that the planned paths are collision free

To ensure that the maps update at the correct frequencies

To ensure that the sensors are working correctly

10.
Question 10
Which of the following tasks should be assigned to the local planner?

1 point

Planning a route to a destination

Planning a lane change to turn left

Planning a merge onto the highway

Planning to avoid a parked car in the ego vehicle’s lane

11
Question 11
What common objects in the environment appear in the occupancy grid?

1 point

Traffic lights

Lane boundaries

Other moving vehicles

Parked vehicles

12
Question 12
Which of the following maps contain roadway speed limits?

1 point

Occupancy grid

Localization map

Detailed roadmap

Week- 3

Module 3: Graded Quiz

1.
Question 1
Which from the below options is the most ACCURATE and COMPLETE definition of risk in terms of self-driving vehicles?

1 point

Risk is any exposure to possible loss or injury

Risk is a probability or threat of damage, injury, liability, loss, or any other negative occurrence that is caused by external or internal factors

Risk is a probability that an event occurs combined with the severity of the harm that the event can cause

Risk is a condition in which there is a possibility of an adverse deviation from the desired or expected outcome

None of the above

2.
Question 2
Which of the following are major components of an autonomous driving system? (Select all that apply)

1 point

Planning

Control

Adaptation

Perception

Configuration

3.
Question 3
What are the most common categories of autonomous vehicle hazard sources? (Select all that apply)

1 point

Malicious software

Hardware and software

Driver inattention

Perception and planning

Electrical and mechanical

4.
Question 4
Is the following statement TRUE or FALSE?

The safety framework to structure safety assessment for autonomous driving defined by NHTSA is MANDATORY to follow.

1 point

FALSE

TRUE

5.
Question 5
Which categories are included in the safety framework to structure safety assessment for autonomous driving defined by NHTSA? (Select all that apply)

1 point

Testing and crash mitigation

Well-organized software development process

Autonomy design

Digital vehicle model design

6.
Question 6
Which actions are needed to be performed in the event of an accident by an autonomous vehicle? (Select all that apply)

1 point

Alerting first responders

Data recording to a black box

Returning car to a safe state

Securing fuel pumps

Locking all doors

7.
Question 7
What are the most common accident scenarios? (Select all that apply)

1 point

Road departure

Intersection

Rollover

Lane change

Crosswalk

Rear-end

8.
Question 8
What kind of safety system is described by the following definition?

This system can be analyzed to define quantifiable safety performance based on critical assessment of various scenarios.

1 point

Data driven safety

Test driven safety

Analytical safety

None of the above

9.
Question 9
According to the report by Rand Corporation, autonomous driving of 8.8 billion miles is required to demonstrate human-level fatality rate of an autonomous vehicle fleet using a 95% Confidence Interval. How many years is required to perform this testing with a fleet of 100 vehicles running 24 hours a day, 7 days a week at an average of 25 miles per hour? Your answer should be an integer.

1 point
Enter answer here

400

10.
Question 10
Given that an autonomous vehicle failure has happened and based on this tree, what is the probability that the failure happened because of Vehicle Control Algorithm Failure OR Inadequate Car Drivers? Please give your answer with the precision of 3 decimal places.

Please use this probabilistic fault tree for your computation:

1 point
Enter answer here

0.382

11.
Question 11
Given that the autonomous vehicle failure has happened, and based on this tree, what is the probability that the failure happened because of Software Failure AND Extreme Weather Conditions at the same time? Please give your answer with the precision of 3 decimal places.

Please use the probabilistic fault tree from the previous question for your computation:

1 point
Enter answer here

0.001

12.
Question 12
A computer vision algorithm is responsible for extracting meaningful data from the onboard camera. A computer vision failure restricts the vehicle’s ability to navigate the environment around it, hence a problem with this system is a serious failure. However, LiDAR and radar sense similar environment data, so a computer vision failure does not leave the vehicle completely blind. A Computer vision algorithm failure can be considered a somewhat severe failure as it decreases vehicle sensing ability and it gets a severity score of 5. This could happen regularly in low light situations, hence the occurrence number is assigned 4. Computer vision algorithm failure is fairly detectable in majority of the situations, so the detectability score is 3.

What is the risk priority number for a Computer vision algorithm failure according to FMEA and based on the description above? Your answer should be an integer.

1 point
Enter answer here

13.
Question 13
There are failures listed below. Which failures should we focus on solving first according to FMEA?

1 point

Vehicle driving onto a gravel road (risk priority score of 400)

Vehicle motion prediction failure (risk priority score of 150)

GPS synchronization failure (risk priority score of 300)

Computer vision algorithm failure (risk priority score of 60)

14.
Question 14
Which of the following options is the most ACCURATE and COMPLETE definition of functional safety in terms of self-driving vehicles?

1 point

Functional safety is the process of avoiding unreasonable risk of harm to a living thing.

Functional safety is the detection of a potentially dangerous condition resulting in the activation of a protective or corrective device or mechanism to prevent hazardous events arising or providing mitigation to reduce the consequence of the hazardous event

Functional safety is a deterministic algorithm outlining the procedures that are carried out to prevent hazardous events from happening or minimizing the harm caused by hazardous events to the vehicle passengers and third parties involved in the situation

Functional safety is a part of the vehicle operation management aimed to minimizing hazards, risks, accidents and near misses

None of the above

15.
Question 15
Which of the following standards defines functional safety terms and activities for electrical and electronic systems within motor vehicles?

1 point

ISO/TC 204

ISO 39001

ISO/PAS 21448

ISO 26262

None of the above

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