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VP 2020 - Localization
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What does Localization mean in terms of Autonomous Vehicle (AV)?
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1 point
The AV can determine its precise relationship to all of the elements on the map
The AV can understand human language
The AV know exactly where is it in the world
The AV can switch its system language automatically according to the country where it resides
Required
Why does using GPS is not enough for self-driving car?
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1 point
Cyber security issue
Low frequency update
Its accuracy is far too imprecise for self-driving car
Poor perfomance in urban area and canyons
Required
Pick the correct answers regarding "localization approaches" in Autonomous Driving:
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1 point
Inertial Navigation
LiDAR Localization
Visual Localization
GNSS RTK
Required
GPS was made up of these parts except:
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1 point
Satellites
Receivers
Control Stations
Microcontroller
How much time does it take for GPS to give an update?
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1 point
1 Hertz (1 update per second)
10 Hertz (10 updates per second)
100 Hertz (100 updates per second)
1000 Hertz (1000 updates per second)
Kalman Filter is an iterative process that follows a two-step: predict and update. Why is it suitable for Autonomous Vehicle prediction?
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1 point
Even if the environment has lots of noise/error/uncertainty occurs, it will give a good result using Gaussian distribution.
There is no need for the historical data as it predicts the next state based on the previous state only
The prediction process required historical data to compute the next state
Computationally very fast making it well suitable for real-time problems
Required
What is the most widely used GNSS system over the world?
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1 point
BeiDou
Galileo
GPS
GLONASS
Which statements are correct regarding the combination of GPS and IMU (Inertial Measurement Unit) for localization?
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1 point
IMU compensates for the low update frequency of GPS
GPS compensates for the low update frequency of IMU
IMU corrects for GPS motion errors
GPS corrects for IMU motion errors
Required
Which statements are correct regarding the LiDAR Localization?
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1 point
The main disadvantage of LiDAR localization is a weak performance when utilizing HD maps and working sensors.The main disadvantage of LiDAR localization is a weak performance when utilizing HD maps and working sensors
The main disadvantage is the difficulty of constructing HD Maps and keeping them up-to-date
The major advantage of LiDAR localization is the easiness of constructing HD Maps and keeping them up-to-date
The major advantage of LiDAR localization is robustness, that means we should always be able to localize the AV with the help of HD maps and a working sensor
Required
Select the correct statements regarding NDT (Normal Distribution Transform):
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1 point
A technique which transforms a raw point cloud into a grid-based representation
A technique which transforms a grid-based cell into a point cloud representation
It provides a compact form for representing the point cloud-based localization
It addresses the uncertainty in data and more robust to noisy data
Required
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