Jul 24, 2023 · It raises a crucial requirement to make self-driving vehicles adapt to the newly received traffic laws. The challenges are that traffic laws are ...
Apr 25, 2022 · The main idea is to supply the adaptability to traffic laws of self-driving vehicles by a law-adaptive backup policy.
It raises a crucial requirement to make self-driving vehicles adapt to the newly received traffic laws. The challenges are that traffic laws are usually ...
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The main idea is to supply the adaptability to traffic laws of self-driving vehicles by a law-adaptive backup policy.
This work aims to design a road traffic law adaptive decision-making method based on reinforcement learning, which helps self-driving vehicles governed by ...
Facts proved that obeying traffic laws keeps the promise to promote the safety of self-driving vehicles. Current self-driving vehicles usually have fixed ...
Jan 9, 2024 · 1). Our approach focuses on creating a trigger-based hierarchical online monitoring architecture that is compliant with the semantic types of ...
Sep 12, 2023 · This paper proposes a novel methodology for driving decision making in AVs based on defeasible deontic logic (DDL). We use DDL to formalize ...
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Semantic traffic law adaptive decision-making for self-driving vehicles. J Liu, H Wang, Z Cao, W Yu, C Zhao, D Zhao, D Yang, J Li. IEEE Transactions on ...
This paper proposes a robust decision-making framework for autonomous driving on the highway to improve driving safety and indicates that the proposed ...