Laser based people following behaviour in an emergency environment

Jose Maria Martínez-Otzeta; Aitor Ibarguren; Ander Ansuategi; Loreto Susperregi

doi:10.1007/978-3-642-10817-4_4

Laser based people following behaviour in an emergency environment

Jose Maria Martínez-Otzeta
, Aitor Ibarguren
, Ander Ansuategi
, Loreto Susperregi

TEKNIKER

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

12 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings
Páginas	33-42
Número de páginas	10
DOI	https://doi.org/10.1007/978-3-642-10817-4_4
Estado	Publicada - 2009
Publicado de forma externa	Sí
Evento	2nd International Conference on Intelligent Robotics and Applications, ICIRA 2009 - Singapore, Singapur Duración: 16 dic 2009 → 18 dic 2009

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	5928 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	2nd International Conference on Intelligent Robotics and Applications, ICIRA 2009
País/Territorio	Singapur
Ciudad	Singapore
Período	16/12/09 → 18/12/09

Acceder al documento

10.1007/978-3-642-10817-4_4

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Martínez-Otzeta, J. M., Ibarguren, A., Ansuategi, A., & Susperregi, L. (2009). Laser based people following behaviour in an emergency environment. En Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings (pp. 33-42). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5928 LNAI). https://doi.org/10.1007/978-3-642-10817-4_4

Martínez-Otzeta, Jose Maria ; Ibarguren, Aitor ; Ansuategi, Ander et al. / Laser based people following behaviour in an emergency environment. Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings. 2009. pp. 33-42 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ec4bd831b29a4109bd9c17a7c6232572,

title = "Laser based people following behaviour in an emergency environment",

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.",

author = "Mart{\'i}nez-Otzeta, \{Jose Maria\} and Aitor Ibarguren and Ander Ansuategi and Loreto Susperregi",

year = "2009",

doi = "10.1007/978-3-642-10817-4\_4",

language = "English",

isbn = "3642108164",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "33--42",

booktitle = "Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings",

note = "2nd International Conference on Intelligent Robotics and Applications, ICIRA 2009 ; Conference date: 16-12-2009 Through 18-12-2009",

}

Martínez-Otzeta, JM, Ibarguren, A, Ansuategi, A & Susperregi, L 2009, Laser based people following behaviour in an emergency environment. En Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5928 LNAI, pp. 33-42, 2nd International Conference on Intelligent Robotics and Applications, ICIRA 2009, Singapore, Singapur, 16/12/09. https://doi.org/10.1007/978-3-642-10817-4_4

Laser based people following behaviour in an emergency environment. / Martínez-Otzeta, Jose Maria; Ibarguren, Aitor; Ansuategi, Ander et al.
Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings. 2009. p. 33-42 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5928 LNAI).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Laser based people following behaviour in an emergency environment

AU - Martínez-Otzeta, Jose Maria

AU - Ibarguren, Aitor

AU - Ansuategi, Ander

AU - Susperregi, Loreto

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/76649127464

U2 - 10.1007/978-3-642-10817-4_4

DO - 10.1007/978-3-642-10817-4_4

M3 - Conference contribution

AN - SCOPUS:76649127464

SN - 3642108164

SN - 9783642108167

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 33

EP - 42

BT - Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings

T2 - 2nd International Conference on Intelligent Robotics and Applications, ICIRA 2009

Y2 - 16 December 2009 through 18 December 2009

ER -

Martínez-Otzeta JM, Ibarguren A, Ansuategi A, Susperregi L. Laser based people following behaviour in an emergency environment. En Intelligent Robotics and Applications - Second International Conference, ICIRA 2009, Proceedings. 2009. p. 33-42. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-10817-4_4

Laser based people following behaviour in an emergency environment

Resumen

Serie de la publicación

Conferencia

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto