… is that the slack variables enable to alter the homotopy class during the iterations, which
brings about risks to make the planned trajectory inconsistent with the decision made in a higher…

… risk computation can be misleading and introduced the concept of risk volume, where each
voxel is assigned a risk … in procedure time and trajectory risk. Although these methods are …

… In this paper, a trajectory planning method for autonomous lane change is investigated on
… Various research studies have focused on the trajectory planning and motion control of …

… , trajectory planning algorithms should incorporate these sources of uncertainty to reduce risks
… The cooperative trajectory planning algorithm this work is based on plans in a continuous …

… in aircraft and spacecraft trajectory planning. By including … individual risks δ(·) as risk
allocation, whereas the process to choose which of the disjunctions in (20) to satisfy is called risk …

… long enough to correctly assess the risk of the full task a priori. This leads the robot to a state
where our method cannot find a trajectory that satisfies the risk bound along the horizon and …

… We not only comprehensively summarize the trajectory planning, space exploration,
optimization, and other challenges encountered but also present the possible directions for future …

… a trajectory planning … a trajectory planning framework for autonomous vehicles based on
head collision injury prediction for VRUs, aiming to achieve a fair distribution of collision risks …

… Thus, we propose an empirical risk model for anonymised trajectory data. If t ′
represents attacker’s knowledge; h=|t ′ | denotes the number of observations in the attacker’s …

… by the (dashed circle) maximumrisk distance (ie, Rj … planner starts working, and the (asterisks)
intersection of the discretized spline trajectory with the region defined by the maximum-risk …