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一种应用于自动驾驶的多传感器后融合方法

朱泽敏,张 勇,张智腾,彭之川,朱 田

发布时间:2025/4/2    浏览量:204

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摘 要:多传感器融合已成为提高自动驾驶感知性能的关键技术。基于目标运动状态的延续特性,本文提出一种应用于自动驾驶的多传感器后融合方法,优化目标匹配策略,以提升整体感知结果的稳定性。经试验验证,该方法在多种自动驾驶环境下均表现出良好的性能。
关键词:自动驾驶;多传感器;后融合;鲁棒性
中图分类号:U471.15     文献标志码:A      DOI:10.15917/j.cnki.1006-3331.2025.01.001

A Method of Multi-sensor Post Fusion Applied to Autonomous Driving
ZHU Zemin,ZHANG Yong,ZHANG Zhiteng,PENG Zhichuan,ZHU Tian

Abstract: Multi-sensor fusion has become a key technology to improve the perception performance of autonomous driving.Based on the continuity characteristic of target motion states, this paper proposes a multi-sensor post fusion method for autonomous driving and optimizes target matching strategies to improve the stability of overall perception results.Through experimental verification, this method has shown good performance in various autonomous driving environments.
Key words: autonomous driving; multi sensor; post fusion method;robustness

引用本文
朱泽敏,张 勇,张智腾,等.一种应用于自动驾驶的多传感器后融合方法[J].客车技术与研究,2025,47(1):1-5.
ZHU Zemin,ZHANG Yong,ZHANG Zhiteng,et al.A Method of Multi-sensor Post Fusion Applied to Autonomous Driving[J].Bus & Coach Technology and Research,2025,47(1):1-5.