World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection
The first statistically realistic roadway simulation has been developed by researchers at the University of Michigan. While it currently represents a particularly perilous roundabout, future work will expand it to include other driving situations for testing autonomous vehicle software.
Today's driving simulators have a big problem: They don't look realistic enough, particularly background objects, such as trees, and road markings. But researchers have developed a new way to create photorealistic images for simulators, paving the way for better testing of driverless cars.
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates near-miss incidents with outright failures, according to new research led by University of Michigan Engineering.
Hyper-realistic virtual worlds have been heralded as the best driving schools for autonomous vehicles (AVs), since they’ve proven fruitful test beds for safely trying out dangerous driving scenarios. Tesla, Waymo, and other self-driving companies all rely heavily on data to enable expensive and proprietary photorealistic simulators, since testing and gathering…