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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.AI2018
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications
Brian Paden, Peng Liu, Schuyler Cullen
Linear temporal logic and automaton-based run-time verification provide a powerful framework for designing task and motion planning algorithms for autonomous agents. The drawback t…