Open AccessSafely Test Autonomous Vehicles with Augmented Reality
Author(s) -
Shenlong Wang,
David Forsyth
Publication year - 2022
Language(s) - English
Resource type - Reports
DOI - 10.36501/0197-9191/22-015
Subject(s) - exploit , virtual reality , computer science , track (disk drive) , augmented reality , test (biology) , human–computer interaction , scenario testing , driving simulator , simulation , virtual world , real time computing , artificial intelligence , computer security , operating system , paleontology , variety (cybernetics) , biology