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Multiple Sensor Fusion for Detecting Location of Curbs, Walls, and Barriers

Romuald Aufrere, Christoph Mertz and Chuck Thorpe
Carnegie Mellon University, Proceedings of the IEEE Intelligent Vehicles Symposium (IV2003), June, 2003

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Abstract

Knowledge of the location of curbs, walls, or barriers is important for guidance of vehicles or for the understanding of their surroundings. We have developed a method to detect such continous objects alongside and in front of a host vehicle. We employ a laser line striper, a vehicle state estimator, a video camera, and a laser scanner to detect the object at one location, track it alongside the vehicle, search for it in front of the vehicle and eliminate erroneous readings caused by occlusion from other objects.

BibTeX Reference
@conference{Aufrere-2003-8656,
title = {Multiple Sensor Fusion for Detecting Location of Curbs, Walls, and Barriers},
author = {Romuald Aufrere and Christoph Mertz and Chuck Thorpe},
booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV2003)},
keyword = {Sensor fusion, curb detection, triangulation sensor, computer vision, laser range finder},
school = {Robotics Institute , Carnegie Mellon University},
month = {June},
year = {2003},
address = {Pittsburgh, PA},
}
2017-09-13T10:44:42+00:00