Hands-off detection (HOD) is used in autonomous driving vehicle (ADV). However, how to choose an appropriate HOD timespan (HODT) either practically or legislatively remains unsolved. In this paper, an asymmetric Nash bargaining-based HODT determination is introduced. Utility functions of autonomous driving system (ADS) and driver are developed. HODT is determined based on the asymmetric Nash bargaining solution. Experimental result shows existing adopted HODTs can be obtained using the proposed method. Appropriate HODT can be obtained considering safety requirement and driver's need. Under high safety requirement, HODT is short regardless of driver's need. When safety requirement is not strict, HODT can be prolonged to satisfy driver's need. By constructing situation awareness (SA) evolution process considering HODT, ceiling HODT can be obtained, which can be used in legislation as the longest HODT that can be chosen. Experiment also shows superiority of dynamical HODT over the constant HODT. The proposed method offers a possible theoretical solution to HODT determination, showing potential in practice and legislation.

Determination of Hands-Off Detection Timespan Based on Asymmetric Nash Bargaining / Feng, Zhijie; Zhou, Siwei; Ye, Luyao; Vicario, Enrico; Xiang, Jianwen. - ELETTRONICO. - (2025), pp. 656-667. ( 25th International Conference on Software Quality, Reliability and Security, QRS 2025 chn 2025) [10.1109/qrs65678.2025.00070].

Determination of Hands-Off Detection Timespan Based on Asymmetric Nash Bargaining

Ye, Luyao;Vicario, Enrico;
2025

Abstract

Hands-off detection (HOD) is used in autonomous driving vehicle (ADV). However, how to choose an appropriate HOD timespan (HODT) either practically or legislatively remains unsolved. In this paper, an asymmetric Nash bargaining-based HODT determination is introduced. Utility functions of autonomous driving system (ADS) and driver are developed. HODT is determined based on the asymmetric Nash bargaining solution. Experimental result shows existing adopted HODTs can be obtained using the proposed method. Appropriate HODT can be obtained considering safety requirement and driver's need. Under high safety requirement, HODT is short regardless of driver's need. When safety requirement is not strict, HODT can be prolonged to satisfy driver's need. By constructing situation awareness (SA) evolution process considering HODT, ceiling HODT can be obtained, which can be used in legislation as the longest HODT that can be chosen. Experiment also shows superiority of dynamical HODT over the constant HODT. The proposed method offers a possible theoretical solution to HODT determination, showing potential in practice and legislation.
2025
IEEE International Conference on Software Quality, Reliability and Security, QRS
25th International Conference on Software Quality, Reliability and Security, QRS 2025
chn
2025
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Feng, Zhijie; Zhou, Siwei; Ye, Luyao; Vicario, Enrico; Xiang, Jianwen
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1448973
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