… trajectory in these dynamic scenarios. To overcome these issues, this paper proposes a hybrid
trajectory planning … movement, the planner can deal with various trajectories with multiple …

… motion planning problem in real time for autonomous driving, we propose a hybrid trajectory
planning … We assume the drivable region and the global path, which may be or may not be …

… in cooperative motion plans as discrete time hybrid automation … MIQP in cooperative multiple
vehicle trajectory planning, and in … motion planning [31]. MIQP has been utilized in robot …

… In this work, we proposed a novel hybrid motion planning … hybrid motion planning framework
consisting of learning-based behavior planning and optimization-based trajectory planning, …

… trajectory planning and control based on user preferences is developed for lane-change of
autonomous vehicles … area boundaries and the vehicle dynamics. To extract a personalized …

… -time trajectory planning problem for autonomous vehicles driving … motion planning framework.
First, a rough reference … electric and hybrid vehicles, vehicle dynamics and control, driver …

… In this paper a Robust Hybrid Automaton architecture, applicable to autonomous vehicles
has been … efficient, real-time motion planning algorithms for agile autonomous vehicles [8, 91. …

… help of a reference trajectory derived by hybrid A* … trajectory planners not applicable to the
off-road cases. This paper deals with off-road trajectory planning for an autonomous vehicle. …

… allows visiting centers of cells, our hybrid-state A* associates with each grid cell a continuous
3D state of the vehicle, as illustrated in Figure 2. As noted above, our hybrid-state A* is not …

… Autonomous driving is the current research hotspot, which mainly includes trajectory planning
and trajectory tracking [1]. … platoon using hybrid automata,’’ IEEE Trans. Intell. Transp. …