Researchers from The Chinese University of Hong Kong, SenseTime Research and Zhejiang University have proposed PGDrive, a driving simulator designed to evaluate and improve end-to-end driving agents’ generalization abilities.
“It is known that deep neural networks can overfit training data easily,” explain the researchers. PGDrive, meanwhile, is able to generate an unlimited number of diverse driving maps. The simulator is introduced in the paper Improving the Generalization of End-to-End Driving through Procedural Generation.
Here is a quick read: PGDrive Simulator Generates Unlimited Diverse Driving Environments