DocumentCode
3033788
Title
A sensor based assessment of imminent collisions at right angle intersections
Author
Streib, Kevin ; Ozguner, Umit ; Martin, John ; Mochizuki, Yutaka ; Ishikawa, Kei
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
fYear
2008
fDate
22-24 Sept. 2008
Firstpage
210
Lastpage
215
Abstract
This report summarizes the feasibility of using light detection and ranging (LIDAR) data to track an oncoming vehicle at a right angle intersection with the ultimate goal of determining the severity of a potential collision. The vehicle tracking system (VTS) that was developed to transform raw LIDAR data into a useable format and track potential vehicles during consecutive scans will be described in detail. Furthermore, the results from tests using the VTS to track approaching vehicles on both simulated and experimental LIDAR data will be provided.
Keywords
optical radar; tracking; imminent collision; light detection and ranging data; right angle intersection; sensor based assessment; vehicle tracking system; Approximation algorithms; Clustering algorithms; Euclidean distance; Laser radar; Least squares approximation; Radar tracking; Safety; Shape; Testing; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Electronics and Safety, 2008. ICVES 2008. IEEE International Conference on
Conference_Location
Columbus, OH
Print_ISBN
978-1-4244-2359-0
Electronic_ISBN
978-1-4244-2360-6
Type
conf
DOI
10.1109/ICVES.2008.4640885
Filename
4640885
Link To Document