Overview of Environment Perception for Intelligent Vehicles
Overview of Environment Perception for Intelligent Vehicles
复制标题
智能汽车环境感知概述
DOI：
10.1109/tits.2017.2658662
复制
发表时间：
2017-10-01
影响因子：
8.5
通讯作者：
Leung, Henry
中科院分区：
文献类型：
--
作者：
Zhu, Hao;Yuen, Ka-Veng;Leung, Henry
本文对智能车辆环境感知技术进行了综述。介绍了智能车辆的建模方法和算法，分析了各种建模方法的优缺点，重点介绍了车道和道路检测、交通标志识别、车辆跟踪、行为分析和场景理解等方法。此外，我们还提供了有关数据集，常见性能分析以及该领域未来研究方向的信息。
This paper presents a comprehensive literature review on environment perception for intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent vehicles are given, with a summary of their pros and cons. A special attention is paid to methods for lane and road detection, traffic sign recognition, vehicle tracking, behavior analysis, and scene understanding. In addition, we provide information about datasets, common performance analysis, and perspectives on future research directions in this area.