NDLI: Vehicle Frontal Collision Warning System based on Improved Target Tracking and Threat Assessment

Content Provider	IEEE Xplore Digital Library
Author	Yimin Wei Huadong Meng Hao Zhang Xiqin Wang
Copyright Year	2007
Description	Author affiliation: Tsinghua Univ., Beijing (Yimin Wei; Huadong Meng; Hao Zhang; Xiqin Wang)
Abstract	A vehicle frontal collision warning system (FCWS) based on improved target tracking and threat assessment for collision avoidance is described in this paper. The system acquires longitudinal and lateral position of objects from radar and Lidar. Together with host's speed and angular velocity, the system tracks all the targets in front. The threat assessment, based on the knowledge of current state, provides a warning signal to the driver when a potential collision is detected. Extensive field tests show that, with the stable and accurate tracks, the warning system not only provides high accuracy in detecting potential collisions but also responds exactly in time to assist the driver.
Starting Page	167
Ending Page	172
File Size	639886
Page Count	6
File Format	PDF
ISBN	9781424413959
DOI	10.1109/ITSC.2007.4357744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Alarm systems Target tracking Radar tracking Road accidents Radar detection Object detection Laser radar Meteorological radar Intelligent transportation systems
Content Type	Text
Resource Type	Article

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Vehicle Frontal Collision Warning System based on Improved Target Tracking and Threat Assessment