… for scene understanding in autonomous driving. RL has been … approaches applied to AVs.
Section V covers existing RL-based methods that aim to solve problems of autonomous driving…

… the formulated functional requirements in atop-down approach (Section 5). In Section 6 the
… allows the discussion of existing approaches for autonomous driving and fully, highly or …

… Benefiting from the rapid development of deep learning approaches in recent years, many …
design of advanced driver assistance systems (ADASs) and connected autonomous vehicles (…

… results of our driving policy on all towns available in CARLA. Our approach divides the … is
guided towards learning an increasingly better driving policy. The agent architecture comprises …

… As already mentioned, our autonomous driving approach is based on localization using
lane marking maps. The success of this approach relies strongly on the performance of lane …

… In Section IV, we show the proposed adaptive tracking approach in detail, and we conduct
simulation and field … Accordingly, the RL_PP_PID steering approach is proposed in this paper. …

This paper presents an efficient and practical approach for a car navigation system (CVM-Car)
based on the velocity space optimization paradigm. The method calculates the velocity …

… approaches, architectures and lessons from the competition. We then describe some of the
challenges facing autonomous driving, especially those related to driving in … for autonomous …

… To bridge this gap, we propose a novel knowledge-driven autonomous driving paradigm
and DiLu framework that enables LLMs to comprehend driving environments and drive by …

… cooperation in cooperative driving. In this survey, we review the current solution approaches
in cooperation for autonomous vehicles, based on various cooperative driving applications, …