… 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 …

… Governments and society can substantially benefit from autonomous driving, including …
realize autonomous driving, vehicles need to be capable of sensing the surrounding environment …

… in heterogeneous traffic environments remains a challenging task for autonomous driving …
social interactions among agents and the environment, handling multiclass traffic movements, …

… The degradation of 2D object detection methods in complex environments with high
heterogeneity (up to 9 unique agents per frame) and high density (up to 40 total agents per frame) in …

… heterogeneous SoC. The authors believe that this project contributes to early realize autonomous
driving. … environments, the vehicle changes the state to the safe mode and stops safely. …

… of unimodal data [11, 30, 58]); none of them is capable of handling all the aforementioned
heterogeneity induced by humans, vehicle, and environment under our targeted AD scenarios. …

… autonomous waypoint navigation while avoiding obstacles in the heterogeneous environment
… each, totalling approximately 60km of autonomous driving under normal site operations, …

The development of autonomous vehicles for urban driving … the art in autonomous driving
in urban environments, based … the teams faced in driving in urban environments. The paper …

… realistically we simulate the actual driving environment. No matter how good the simulator …
for efficient mapping of incoming workloads onto heterogeneous computing units. Fourth, we …

… complex environments like … driver assistance systems today use a single environmental
sensor and a tracking model tied to the characteristics of this sensor. When using heterogeneous …