… other AI technologies, behavior planning and decision-making re… of driving style and behavior
preferences, consider longer time … , integrated planning and prediction within the behavior …

… , Planning, and Control are to make define and governing … car, certain algorithms are used
to control the autonomous system and are used for steering functions. The autonomous car …

… Sunwoo, “Development of autonomous car—Part II: A case study on the implementation of
an autonomous driving system based on distributed architecture,” IEEE Trans. Ind. Electron., …

… We visualize a typical urban motion planning scenario from a bird’s-eye view, where an
autonomous vehicle (AV) awaits an unprotected left turn. We highlight a candidate plan with a …

… Therefore, here we present an ethical trajectory planning … ethical algorithm for trajectory
planning of autonomous vehicles in line with … to the safety assessment of autonomous cars. Ph.D. …

… We focus here on a subset of IL, behavioral cloning (BC), a supervised learning approach
where expert samples are used as ground truth. Several datasets such as nuScenes [13] or …

… Abstract—Autonomous car racing is a challenging task in the robotic control area. Traditional
modular methods require accurate mapping, localization and planning, which makes them …

… Considering the potential benefits of autonomous vehicles … [1], the development of autonomous
cars which are capable of fully … for motion planning and low level control of autonomous …

… algorithms learn the optimal behavior through rewards during … Researchers using RL for
motion planning typically create … of RL problems for motion planning in autonomous driving, we …

… company in Japan developing autonomous cars, for testing autonomous car components, in
… However, we plan to investigate other relevant algorithms in the future. Moreover, we chose …