计算机视觉
人工智能
立体视觉
单目视觉
传感器融合
单眼
计算机科学
透视图(图形)
背景(考古学)
机器视觉
主动视觉
感知
目标检测
车辆跟踪系统
卡尔曼滤波器
模式识别(心理学)
地理
生物
考古
神经科学
作者
Sayanan Sivaraman,Mohan M. Trivedi
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2013-12-01
卷期号:14 (4): 1773-1795
被引量:762
标识
DOI:10.1109/tits.2013.2266661
摘要
This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding. Over the past decade, vision-based surround perception has progressed from its infancy into maturity. We provide a survey of recent works in the literature, placing vision-based vehicle detection in the context of sensor-based on-road surround analysis. We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor-vision fusion for on-road vehicle detection. We discuss vision-based vehicle tracking in the monocular and stereo-vision domains, analyzing filtering, estimation, and dynamical models. We discuss the nascent branch of intelligent vehicles research concerned with utilizing spatiotemporal measurements, trajectories, and various features to characterize on-road behavior. We provide a discussion on the state of the art, detail common performance metrics and benchmarks, and provide perspective on future research directions in the field.
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