… vehicles [76], or by generating spatiotemporal map from a predicted sequence of movements,
motion planning in a dynamic environment … During Domain adaptation, one tries to find the …

… vehicles, adaptive cruise control, cooperative adaptive cruise … working on autonomous vehicle
motion planning and control, … Chapters 1, 2, 4, and 5 are based partially on material taught …

… the internal system or external environment. However, in practical engineering applications,
motion planning is … , and other traditional adaptive and machine learning methods optimizes …

… online adaptive self-supervised learning for off-road driving in rough terrain to realize a
smooth, collision-free navigation policy that was suitable for plentiful vegetation, rock, and …

… path-tracking solution is combined with the indirect adaptive … I have learned a lot from his
recommendations on a variety of … However, motion planning often includes both the design of …

… processing in a familiar environment. This adaptive path planning approach is present in …
routine after a failed attempt to start with a new draft path using new data that was learned …

… of vehicle dynamics and kinematics in the motion planning … results, it can be learned that
the MPC-based speed tracking … for adaptive cruise control coupled with obstacle avoidance,” …

… of this method in complex road environment. Next, in order to … than three decades, the
lessons learned in this field should, … while meeting the global planning goals and adapting to the …

… ecological car following issue of HEV focus on fusing adaptive … of long-term planning: motion
planning and energy planning, … Worker and host vehicle are regarded as environment, the …

… adapting to changing road conditions. Additionally, self-driving … noise, as the vehicle’s
environment constantly changes. There … motion planning techniques for highly automated vehicles …