A high-definition map (HD map) can complement the sensors to make higher levels of driving automation safe and comfortable.
Hear how the HD map data layers are correlated with vehicle sensor data to enable accurate localization, environment perception and path planning.
See how the sensor-derived observations (“Roadagrams”) contribute to keeping the HD map up to date, and how the updated map is streamed to the vehicle.
Keeping Driver Engaged In L4 By Solving Additional Tasks, Like Interacting With The Navigation Device Or Driving Performance Related Social Networks
Tracking Driver Health While Acting As System Monitor
Developing UI For Drivers To “Check In”
Designing test beds to create robust testing environments
Developing standards to measure against
Looking at test cases
How Does AI Respond When There Is A Disagreement Between Systems?
Requiring The Use Of Fault Detection Tools And Techniques That Take Into Account Complex Interactions Between Linked Ml Components
Developing Redundant Recognizers For AI In AV
Edge cases and perception brittleness
Stress testing perception to automatically detect false negatives and misclassifications
Identifying systematic context-dependent defects in perception systems