13 citations · 13 across the 5 of their papers we have counts for
7 papers
Vision-Based Safe Human-Robot Collaboration with Uncertainty Guarantees
Jakob Thumm, Marian Frei, Tianle Ni +2
Safe human-robot collaboration (HRC) requires accurate human pose estimation and motion prediction to prevent critical collisions. Existing certifiable safe HRC approaches are high…
Lexicographic Minimum-Violation Motion Planning using Signal Temporal Logic
Patrick Halder, Lothar Kiltz, Hannes Homburger +2
Motion planning for autonomous vehicles often requires satisfying multiple conditionally conflicting specifications. In situations where not all specifications can be met simultane…
Results of the 2024 CommonRoad Motion Planning Competition for Autonomous Vehicles
Yanliang Huang, Xia Yan, Peiran Yin +5
Over the past decade, a wide range of motion planning approaches for autonomous vehicles has been developed to handle increasingly complex traffic scenarios. However, these approac…
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis
Yuanfei Lin, Sebastian Illing, Matthias Althoff
Large language models (LLMs) have been widely applied to knowledge-driven decision-making for automated vehicles due to their strong generalization and reasoning capabilities. Howe…
Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
Yuanfei Lin, Zekun Xing, Xuyuan Han +1
Complying with traffic rules is challenging for automated vehicles, as numerous rules need to be considered simultaneously. If a planned trajectory violates traffic rules, it is co…
Results of the 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles
Niklas Kochdumper, Youran Wang, Johannes Betz +1
In recent years, different approaches for motion planning of autonomous vehicles have been proposed that can handle complex traffic situations. However, these approaches are rarely…
DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models
Yuanfei Lin, Chenran Li, Mingyu Ding +3
Motion planners are essential for the safe operation of automated vehicles across various scenarios. However, no motion planning algorithm has achieved perfection in the literature…