摘要
汽车能否成功避撞直接影响其行驶的安全性与稳定性,因而汽车避撞技术的研究越来越重要。通过时间序列分析和归纳研究,从"优化控制策略、设计安全距离模型、行车信息感知与处理、车辆动力学、差异化预警、优化算法"等方面分析智能网联汽车主动避撞技术的研究现状,进而预测其未来研究趋势是"算法逐步优化、深度逐步加大、范围逐步拓展、四化程度逐步提高",最后认为该领域的研究应综合多种算法或综合多个角度以满足现实需求。
Whether a vehicle can successfully avoid collision directly affects its driving safety and stability,so the research of vehicle collision avoidance technology is more and more important.Through time series analysis and induction study,the current situation of Intelligent Connected Vehicle Active Collision Avoidance Technology was analyzed from the aspects of"optimal control strategy,design of safe distance model,driving information perception and processing,vehicle dynamics,differentiated early warning,optimization algorithm".Furthermore,the future research trend is predicted to be"gradual optimization of algorithm,gradual increase of depth,gradual expansion of scope and gradual improvement of the four modernizations".Finally,the author believes that the research in this field should integrate a variety of algorithms or perspectives to meet the practical needs.
作者
陈雷
程凤军
CHEN Lei;CHENG Fengjun(Changzhou Vocational Institute of Industry Technology,Changzhou 213164,China)
出处
《汽车电器》
2023年第9期3-7,共5页
Auto Electric Parts
基金
常州工业职业技术学院青年基金项目(QN202013101003)。
关键词
智能网联汽车
主动避撞技术
现状
趋势
intelligent connected vehicle
active collision avoidance technology
current situation
trend