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When Real-World Data is Not Enough
Spawning synthetic data from real-world data is an importantaspect of autonomous vehicle training.
When Real-World Data is Not Enough
Spawning synthetic data from real-world data is an importantaspect of autonomous vehicle training.
Seeking Misbehaving Virtual Drivers
Simulating accidents in mixed reality is a critical step for the future of autonomous vehicles.
AutoDrive Competition Puts Student Engineers in the AV Driver’s Seat
AutoDrive, sponsored by General Motors and SAE International, is tasking eight university-level student teams with developing and demonstrating a fully autonomous passenger vehicle by the end of year three.
Mcity Model IDs Connected Car Security Risks
To help engineers and developers address connected car security threats, the Mcity Threat Identification Model creates a framework that evaluates threats.
Humans Play Crash Test Dummy Role for Autonomous Vehicle Testing
Standard crash test dummies weren’t optimal for testing the automated braking systems.
Michigan Pulls Ahead In Autonomous Vehicle Race
Michigan tries to grab the mantle for leadership in connected and autonomous vehicles, a market predicted to reach 129 million vehicles sold between 2020 and 2035.


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