GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization
Work
Year: 2021
Type: article
Abstract: In this letter, we present a computationally efficient trajectory optimizer that can exploit GPUs to jointly compute trajectories of tens of agents in under a second. At the heart of our optimizer is ... more
Institution University of Tartu
Cites: 21
Cited by: 10
Related to: 10
FWCI: 0.99
Citation percentile (by year/subfield): 61.83
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid