Title :
Obstacle Detection and Tracking Using Laser 2D
Author :
Habermann, Danilo ; Garcia, Claudio
Author_Institution :
Polytech. Sch., Sao Paulo Univ., São Paulo, Brazil
Abstract :
An obstacle detection and tracking system using a 2D laser sensor and the Kalman filter is presented. This filter is not very efficient in case of severe disturbances in the measured position of the obstacle, as for instance, when an object being tracked is behind a barrier, thus interrupting the laser beam, making it impossible to receive the sensor information about its position. This work suggests a method to minimize this problem by using an algorithm called Corrector of Discrepancies.
Keywords :
Kalman filters; collision avoidance; image sensors; mobile robots; object detection; robot vision; tracking; 2D laser sensor; Kalman filter; autonomous vehicles; corrector of discrepancies; obstacle detection; tracking system; Kalman filter; laser sensor; object detection; vehicle tracking;
Conference_Titel :
Robotics Symposium and Intelligent Robotic Meeting (LARS), 2010 Latin American
Conference_Location :
Sao Bernardo do Campo
Print_ISBN :
978-1-4244-8639-7
DOI :
10.1109/LARS.2010.21