… With the increasing use of autonomous vehicles, it is … but also contain challenging high-density
diverse scenarios. … , called A*3D, for autonomous driving in challenging environments. An …

… the challenges facing autonomous driving, especially those related to driving in environments
… in which humans are present and particularly challenging environments in which humans …

Boss is an autonomous vehicle that uses on‐board sensors (global positioning system,
lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize itself …

… datasets for autonomous driving research is presented. To provide practical guidance on
when to use which dataset, we categorize the datasets according to autonomous driving tasks. …

… We define end-to-end autonomous driving systems as fully differentiable programs that take
raw sensor data as input and produce a plan and/or low-level control actions as output. Fig. …

… driving computing systems to understand … autonomous driving, including seven performance
metrics and nine key technologies, followed by 12 challenges to realize autonomous driving…

… environments and ignore any structure that may exist. In this paper, we present a …
autonomous system that recognizes and exploits structure in the environment in the form of driving …

… environments is the focus of this paper. We start with a quick overview of current autonomous
driving … the solution concept for autonomous driving in urban environments and its enabling …

… works in autonomous driving focus on simple driving tasks, … the intricacies of driving in urban
environments. The main … -end autonomous driving systems that tackle urban environments. …

… technologies have a significant impact on autonomous driving (AD), improving driving
safety while minimizing the efforts of human drivers with the help of advanced artificial intelligence …