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
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;
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
DOI :
10.1109/ICVES.2008.4640885
