Review of the Learning-based Camera and Lidar Simulation Methods for Autonomous Driving Systems

arXiv:2402.10079v1 Announce Type: cross
Abstract: Perception sensors, particularly camera and Lidar, are key elements of Autonomous Driving Systems (ADS) that enable them to comprehend their surroundings for informed driving and control decisions. Therefore, developing realistic camera and Lidar simulation methods, also known as camera and Lidar models, is of paramount importance to effectively conduct simulation-based testing for ADS. Moreover, the rise of deep learning-based perception models has propelled the prevalence of perception sensor models as valuable tools for synthesising diverse …

abstract ads arxiv autonomous autonomous driving autonomous driving systems control cs.cv cs.gr cs.lg cs.ro decisions driving key lidar perception review sensors simulation systems them type