3D Vision Sensing for Improved Pedestrian Safety
Pedestrian-vehicle accidents account for the second largest source of automotive related fatality and injury worldwide. This paper presents a system which detects and tracks pedestrians in realtime for use with automotive Pedestrian Protection Systems (PPS) aimed at reducing such pedestrian-vehicle related injury. The system is based on a passive stereo vision configuration which segments a scene into 3D objects, classifies each object as pedestrian/non-pedestrian and finally tracks the...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE Intelligent Vehicles Symposium|
|01_Grubb_3D_Vision_Sensing_for_Improved_2004.pdf||996.87 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.