1 citations · 2 across the 13 of their papers we have counts for
5 papers · 1 filter
Adapting Reinforcement Learning for Path Planning in Constrained Parking Scenarios
Feng Tao, Luca Paparusso, Chenyi Gu +6
Real-time path planning in constrained environments remains a fundamental challenge for autonomous systems. Traditional classical planners, while effective under perfect perception…
Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking
Zixuan Wu, Hengyuan Zhang, Ting-Hsuan Chen +4
Parking is a critical pillar of driving safety. While recent end-to-end (E2E) approaches have achieved promising in-domain results, robustness under domain shifts (e.g., weather an…
TridentNetV2: Lightweight Graphical Global Plan Representations for Dynamic Trajectory Generation
David Paz, Hao Xiang, Andrew Liang +1
We present a framework for dynamic trajectory generation for autonomous navigation, which does not rely on HD maps as the underlying representation. High Definition (HD) maps have…
TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation
David Paz, Hengyuan Zhang, Henrik I. Christensen
In recent years, various state of the art autonomous vehicle systems and architectures have been introduced. These methods include planners that depend on high-definition (HD) maps…
Autonomous Vehicle Benchmarking using Unbiased Metrics
David Paz, Po-jung Lai, Nathan Chan +2
With the recent development of autonomous vehicle technology, there have been active efforts on the deployment of this technology at different scales that include urban and highway…