NDLI: Pedestrian-vehicular collision avoidance based on vision system

Content Provider	IEEE Xplore Digital Library
Author	Zhijun Chen Chaozhong Wu Nengchao Lyu Gang Liu Yi He
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China (Gang Liu) \|\| Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China (Zhijun Chen; Chaozhong Wu; Nengchao Lyu; Yi He)
Abstract	Vehicle-pedestrian collision avoidance is an important issue on intelligent vehicles research field. Although pedestrian detection and collision avoidance were concentrated by previously many studies, there are many problems about the collision prediction and warning. Based on pedestrian detection, the trajectory prediction and time to collision (TTC) still needs to be further studied to prevent vehicle-pedestrian collision. In this study, a monocular camera with low cost was utilized. The well performance of pedestrian detection was shown. Based on this detection system, a model of pedestrian trajectory prediction was proposed. Then, the extended Kalman filter was used to predict motion of pedestrian. Based on trajectory prediction, time to collision range (TTCR) was proposed identify three levels risks, including safe, potential collision and collision. In this study, the on-road experiments were conducted to validate the proposed method. The experimental result shows that the TTCR is more reasonable and safe to apply in vehicle-pedestrian collision avoidance.
Starting Page	11
Ending Page	15
File Size	294870
Page Count	5
File Format	PDF
ISBN	9781479960781
DOI	10.1109/ITSC.2014.6957658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Safety Collision avoidance Trajectory Cameras Feature extraction Accidents extended Kalman filter Pedestrian detection pedestrian safety time to collision range (TTCR)
Content Type	Text
Resource Type	Article

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