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Combining Sensors With Streaming Maps For Robust Autonomous Driving

Combining Sensors With Streaming Maps For Robust Autonomous Driving

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.

How Safe is Safe Enough?

How Safe is Safe Enough?

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”

Automated Vehicle Testing & Validation

Automated Vehicle Testing & Validation

Designing test beds to create robust testing environments

Developing standards to measure against

Looking at test cases

Optimizing AV Safety

Optimizing AV Safety

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

Robustness Testing to Find Systematic Perception Defects

Robustness Testing to Find Systematic Perception Defects

Edge cases and perception brittleness

Stress testing perception to automatically detect false negatives and misclassifications

Identifying systematic context-dependent defects in perception systems