… Urban Challenge. The challenge, announced in April 2006, called for autonomous vehicles
to drive 97 km through an urban … and obeying the California Driver Handbook. Interest in the …

… The development of autonomous vehicles for urban driving … in autonomous driving in urban
environments, based primarily on the experiences of the authors in the 2007 DARPA Urban …

… CONCLUSION A unified planning framework under uncertainty was proposed in this
paper for urban autonomous driving, which can achieve NCDS for various kinds of scenarios. …

… well on complex urban scenarios. In this paper, we propose a framework to enable model-free
deep reinforcement learning in challenging urban autonomous driving scenarios. We …

… Inspired by recent works that combines latent representation learning and reinforcement
learning [34], [35], [39], we present a PGM for urban autonomous driving, which is shown in Fig.4…

… autonomous driving focus on simple driving tasks, such as lane-following, which do not fully
capture the intricacies of driving in urban … -end autonomous driving systems that tackle urban …

Driving through dynamically changing … for autonomous vehicles, especially on urban roadways.
Prediction of surrounding vehicles’ driving behaviors plays a crucial role in autonomous …

… This paper presents a trajectory planner for autonomous driving based on a Nonlinear
Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre …

This paper investigates real-time on-road motion planning algorithms for autonomous
passenger vehicles (APV) in urban environments, and propose a computationally efficient …

… Reward function Considering the critical factors in urban autonomous driving, we design
a reward function that keeps balance on efficiency, ride comfort, and safety. After some trials, …