Autonomous vehicle (AV) development requires massive amounts of sensor data for perception development. Developers typically get this data from two sources—replay streams of real-world drives or simulation. However, real-world datasets offer limited flexibility, as the data is fixed to only the objects, events, and view angles captured by the physical sensors. It is also difficult to simulate…
]]>Autonomous vehicles (AVs) must be able to safely handle any type of traffic scenario that could be encountered in the real world. This includes hazardous near-accidents, where an unexpected maneuver by other road users in traffic could lead to collision. However, developing and testing AVs in these types of scenarios is challenging. Real-world collision data is sparse…
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