面向车辆运动控制的路面不平度识别综述

doi:10.3901/JME.260443

摘要/Abstract

摘要： 车辆运动控制需要实时的路面不平度信息，据此调整控制策略，确保行驶的安全性、舒适性和效率。路面不平度具有随机性和高度不确定性，传统方法基于振动信号的时域频域分析，难以获得准确并具有预见性的路面不平度识别结果。随着车辆智能化的发展，以视觉和激光雷达为代表的非接触式传感器信息丰富了识别的信息源，人工智能算法的应用进一步提升了辨识的精细度。面向车辆运动控制的路面不平度识别研究，针对接触式、非接触式以及多源信息融合三大技术路线，对发展演进、识别原理、技术难点及应用情况，并结合人工智能的发展趋势，对泛场景、精细化、高可靠的路面不平度感知技术进行展望具有重要意义。

关键词: 车辆工程, 运动控制, 路面不平度, 识别算法

Abstract: Vehicle motion control requires real-time information on road surface unevenness to adjust control strategies, ensuring the safety, comfort, and efficiency of vehicle operation. Road surface unevenness is characterized by randomness and high uncertainty. Traditional methods based on time-domain and frequency-domain analysis of vibration signals are limited in their ability to provide accurate and predictable recognition results. With the development of vehicle intelligence, non-contact sensors such as cameras and Li DAR have enriched the sources of information for unevenness recognition. The application of artificial intelligence(AI) algorithms has further improved the precision of identification. This study focuses on road surface unevenness recognition for vehicle motion control, systematically analyzing the development, principles, technical challenges, and applications of three major technical approaches:contact-based methods, non-contact-based methods, and multi-source information fusion. Furthermore, by integrating the development trends of AI, the study provides insights into the future of pan-scenario, refined, and highly reliable road surface unevenness perception technologies.

Key words: vehicle engineering, motion control, road unevenness, identification algorithm

中图分类号:

TG156

熊璐, 胡旭歌, 吕浩然, 唐辰. 面向车辆运动控制的路面不平度识别综述[J]. 机械工程学报, 2026, 62(8): 139-156.

XIONG Lu, HU Xuge, Lü Haoran, TANG Chen. Review of Road Surface Unevenness Recognition for Vehicle Motion Control[J]. Journal of Mechanical Engineering, 2026, 62(8): 139-156.

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http://www.cjmenet.com.cn/CN/Y2026/V62/I8/139

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