Researchers at the University of Maryland, Baidu Research and the University of Hong Kong, have created a photo-realistic simulation system for training and validation of self-driving vehicles. The system provides a more realistic and authentic simulation than current systems.
Called Augmented Autonomous Driving Simulation (AADS), the system could enable self-driving technology easier to evaluate while ensuring more reliable safety before expensive road testing.
"This work represents a new simulation paradigm in which we can test the reliability and safety of automatic driving technology before we deploy it on real cars and test it on the highways or city roads," said Manocha, one of the paper's corresponding authors, and a professor with joint appointments in computer science, electrical and computer engineering, and the University of Maryland Institute for Advanced Computer Studies.
Findings were published in the journal Science Robotics.