webinar 4 - sensor fusion - part 2
TRANSCRIPT
Getting Started with Sensor Data for Autonomous Cars:
Sensor Fusion Part 2Session Four: Sensor Fusion for Vehicle Cognition
Webinar Overview
1) Sensor fusion brief intro and recap2) Atlas Devkit video3) Questions4) Integrating HD Semantic Map with the Autonomous Car
Cognition for Cars
Hardware Abstraction Layer (HAL)
GPS
IMU
LiDAR
Localization in 6 dimensions
3D SemanticMapping
Augmented Reality Maps and Context
Civil Maps Products
Point Cloud
Civil Maps Block Diagram (1 of 2)
Radar
Camera
LiDAR
Civil Maps Prior Map around vehicle (Context)
Civil Maps Block Diagram Part 2 of 2
Real-time map validation and state detection
Decision Engine and Actuation
Detailed queries of map:“How far until the intersection?”
HD Semantic Map: A SensorUsing the Map in Sensor Fusion
● Output validation● Optimize resource usage with foveation● State detection (signal light red, yellow, green)
HD Semantic Map: A MapRoute Planning
● Lane by lane instructions between waypoints● Alternative routes in case of unpredicted event● ‘Near clipping distance’ semantic map refreshed at desired frequency
Driveable Area and Speed Control
HD Semantic Map: A Map
● Recommended drivable area from aggregated observable path
● Real time feedback on vehicle position within the drivable area (Safe->Warning->Emergency)
● Drivable path and routing direction for Steering control
● Essential Map data for Speed Control○ Speed limit ○ Cross slope○ Lane width○ Distance to event trigger○ Aggregated trip statistics
Questions & Comments
● Webinar videos & documentation○ YouTube Playlist○ Slides○ GitHub code
Coming Soon:
After Webinar - Happy Hour San Francisco, CA
111 Minna Gallery, San Francisco, CAToday, 6/29 at 6:00 PM PST
The Future of Transportation World Conference, Cologne, Germany
Ensuring Safety & Building Trust in an Autonomous World Sravan Puttagunta (Co-founder) - July 5 - 6
Autonomy - The Urban Mobility Summit, Paris, France
October 19 - 21
Upcoming Events:
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