… In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process (…

… -based method for path planning and expressing the set of the vehicle future occupancy based
… The main purpose of the local path planning algorithm proposed in this paper is to plan a …

… of trajectory planning and control based on user preferences is developed for lane-change
of autonomous vehicles in … for dynamic trajectory planning is summarized in Algorithm 1. The …

… trajectory planning algorithm, correspond to the desired safe stop behavior for L4 autonomy
… Limitations of the DPM solver to five states result in limited accuracy with respect to vehicle …

… focuses on motion planning and control, two of the crucial functions for autonomous driving.
… On the whole, time-independent path planning has been wellsolved using algorithms such …

… In general, path planning algorithms aim to find the optimal path or at least a close … Path
planning for autonomous vehicles is also known as a multi-objective optimization since it …

… a vehicle path planning algorithm that takes into account traffic and other obstacles on a
highway. The proposed algorithm … , the trajectory planning is proposed as a two-step algorithm. …

… Algorithms for motion planning based on the framework presented in this paper are …
computationally efficient, real-time motion planning algorithms for agile autonomous vehicles [8, 91. …

… of a path planning … algorithm to find the best local plan is constantly updating it in order to
avoid obstacles in the route or because the vehicle is not able to follow the previous local path…

… We propose a trajectory planning algorithm through QP form. The cost function was not
modified, and the obstacles were expressed as linear constraints. The proposed …