… make use of the trajectory information provided by autonomous cars and improve suspension
… vehicle trajectory, aiming to improve the ability for in-car working or other nondriving tasks. …

… Starting with ΔT, we believe a second-level discretization will be enough for a coarse on-road
trajectory plan, ΔT = 1s. ΔV is the minimum speed difference of sampled speeds. Any vlon …

… trajectory planning is a crucial task. Within the trajectory planning framework, the solution
trajectory … (t) : [0,T] → X, where T is the planning horizon and X is the configuration space of the …

… extends to the field of autonomous cars (Burger & Lauer, … trajectory planning of multiple
vehicles. In particular, the problem of establishing a set of cooperative trajectories in autonomous …

… are working on autonomous vehicle to robotize this … trajectory planning in uncertain
environment. The environment uncertainty is one of the challenges that we face in trajectory planning…

… manage autonomous vehicles crossing an intersection with no collisions; as well as maintaining
that the car … to exchange information between a car and intersection manager. The safe …

… , active decision-making and trajectory planning under complex (eg, … trajectory planning
simultaneously. In the next subsection, the literature on decision-making and trajectory planning …

… This study provides a promising approach for fast and smooth trajectory planning for
autonomous vehicles in constrained dynamic environment. The preliminary research opens various …

… integrated control can avoid planning the infeasible trajectory, but the … autonomous parking
trajectory planning and tracking according to the above architecture. The entire autonomous …

… world employment of autonomous systems such as robots and autonomous cars is handling
… the perspective of the autonomous car, the driving behavior of the nearby cars is to a large …