… and real-time capabilities of the method. The end-to-end framework optimizes the entire …
Posner, “Watch this: Scalable costfunction learning for path planning in urban environments,…

… real-time motion planning approach is developed within the feasible regions. • We formulate
a motion planning … model for urban autonomous driving at uncontrolled intersections of road …

… Space Algorithm (PSPACE) [8], meaning it is hard to elaborate an overall solution by solving
the nonlinear programming problem in real-time … autonomous vehicles in urban environment…

… several path planning networks with various types of input including gray-scale images and
ego-motions. The … Differently, we find this method is still insufficient for hard-coded safety on …

… -change trajectory planning method for advanced driver assistance system of connected
and automated vehicles. … proposed a real-time trajectory planning and execution lane-change …

… a new approach to model uncertain dynamic obstacles for fast real-time motion planning …
In this section we implement our motion planning approach (4) in a Model Predictive Control (…

… While on the other hand, trajectory planning is a real time transition of vehicle from one …
The search space planner can be considered as a part of path planner module which would …

… (MPC) for real-time implementation, a fast integrated planning and control framework is …
changing, overtaking, and car following, driving in the urban environment also includes taking left…

… This study provides a promising approach for fast and smooth trajectory planning for … A
real-time motion planner with trajectory optimization for autonomous vehicles. In: Proceedings of …

… all these tasks contribute to planning. We introduce Unified Autonomous Driving (UniAD), a
comprehensive framework up-to-date that incorporates full-stack driving tasks in one network…