Three-dimensional Perception for Mobile Robots - Tapa blanda

Triebel, Rudolph

 
9783639035896: Three-dimensional Perception for Mobile Robots
Tapa blanda
ISBN 10: 3639035895 ISBN 13: 9783639035896
Editorial: VDM Verlag Dr. Mueller e.K., 2008

Sinopsis

The problem of three-dimensional perception for mobile robots is divided into three major tasks: data acquisition, consistent and efficient representation, and semantic interpretation. For all three tasks we provide novel approaches: a 4 DOF robot arm with a laser range sensor to autonomously scan mid-size 3D objects, a new probabilistic representation for outdoor environments with surfaces at different height levels ("multi-level surface maps"), and a collective classification method to identify objects such as chairs and tables in 3D range scans. The presented approaches apply and extend techniques from machine learning, computational geometry and mobile robotics, where some of them have been developed just recently. For example, the object classification is based on associative Markov networks, using a faster learning algorithm and an extension to improve the classification rate. To compute consistent large-scale 3D outdoor maps, we use an extended constraint optimization method similar to GraphSLAM. Finally, we show the usefulness of the developed algorithms in two application scenarios: an autonomous car used for 3D mapping, and a system to handle occlusions in 3D range data.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

The problem of three-dimensional perception for mobile robots is divided into three major tasks: data acquisition, consistent and efficient representation, and semantic interpretation. For all three tasks we provide novel approaches: a 4 DOF robot arm with a laser range sensor to autonomously scan mid-size 3D objects, a new probabilistic representation for outdoor environments with surfaces at different height levels ("multi-level surface maps"), and a collective classification method to identify objects such as chairs and tables in 3D range scans. The presented approaches apply and extend techniques from machine learning, computational geometry and mobile robotics, where some of them have been developed just recently. For example, the object classification is based on associative Markov networks, using a faster learning algorithm and an extension to improve the classification rate. To compute consistent large-scale 3D outdoor maps, we use an extended constraint optimization method similar to GraphSLAM. Finally, we show the usefulness of the developed algorithms in two application scenarios: an autonomous car used for 3D mapping, and a system to handle occlusions in 3D range data.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
VDM Verlag Dr. Mueller e.K.
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3639035895
ISBN 13 
9783639035896
Encuadernación
Tapa blanda
Número de páginas
196
Contacto del fabricante
no disponible
Persona responsable
no disponible