2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.RO2018
Model predictive trajectory optimization and tracking for on-road autonomous vehicles
Peng Liu, Brian Paden, Umit Ozguner
Motion planning for autonomous vehicles requires spatio-temporal motion plans (i.e. state trajectories) to account for dynamic obstacles. This requires a trajectory tracking contro…
cs.RO2017★ 2 cited
The Generalized Label Correcting Method for Optimal Kinodynamic Motion Planning
Brian Paden
Nearly all autonomous robotic systems use some form of motion planning to compute reference motions through their environment. An increasing use of autonomous robots in a broad ran…
cs.RO2016
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
Brian Paden, Michal Cap, Sze Zheng Yong +2
Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportat…