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Hauptverfasser: Lin, Yuanfei, Xing, Zekun, Han, Xuyuan, Althoff, Matthias
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2412.15837
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author Lin, Yuanfei
Xing, Zekun
Han, Xuyuan
Althoff, Matthias
author_facet Lin, Yuanfei
Xing, Zekun
Han, Xuyuan
Althoff, Matthias
contents 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 common to replan a new trajectory from scratch. We instead propose a trajectory repair technique to save computation time. By coupling satisfiability modulo theories with set-based reachability analysis, we determine if and in what manner the initial trajectory can be repaired. Experiments in high-fidelity simulators and in the real world demonstrate the benefits of our proposed approach in various scenarios. Even in complex environments with intricate rules, we efficiently and reliably repair rule-violating trajectories, enabling automated vehicles to swiftly resume legally safe operation in real time.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15837
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
Lin, Yuanfei
Xing, Zekun
Han, Xuyuan
Althoff, Matthias
Robotics
Artificial Intelligence
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 common to replan a new trajectory from scratch. We instead propose a trajectory repair technique to save computation time. By coupling satisfiability modulo theories with set-based reachability analysis, we determine if and in what manner the initial trajectory can be repaired. Experiments in high-fidelity simulators and in the real world demonstrate the benefits of our proposed approach in various scenarios. Even in complex environments with intricate rules, we efficiently and reliably repair rule-violating trajectories, enabling automated vehicles to swiftly resume legally safe operation in real time.
title Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis
topic Robotics
Artificial Intelligence
url https://arxiv.org/abs/2412.15837