Abstract
Rescue robots have a large application potential in rescue tasks, minimizing risks and improving the human action in this kind of situations. Given the characteristics of the environment in which a rescue robot has to work, sensors may suffer damage and severe malfunctioning. This paper presents a backup system able to follow a person when camera readings are not available, but the laser sensor is still working correctly. A probabilistic model of a leg shape is implemented, along with a Kalman filter for robust tracking. This system can be useful when the robot has suffered some damage that requires it to be returned to the base for repairing. © 2009 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Martínez-Otzeta, J. M., Ibarguren, A., Ansuategi, A., & Susperregi, L. (2009). Laser based people following behaviour in an emergency environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5928 LNAI, pp. 33–42). https://doi.org/10.1007/978-3-642-10817-4_4
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