Title :
Robust localization method based on free-space observation model using 3D-map
Author :
Takeuchi, Eijiro ; Ohno, Kazunori ; Tadokoro, Satoshi
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
Abstract :
This paper proposes robust localization method using a free-space observation model with a 3D map for a particle filter. The free-space observation model judges whether the free space of a laser beam of a sensor is appropriate. The observation model realizes highly robust localization in outdoor environments with many unknown obstacles. This paper describes the free-space observation model and the increase in the calculation speed of the observation model. The proposed localization method achieves 1-km localization in outdoor environments with many unknown objects.
Keywords :
geographic information systems; optical scanners; particle filtering (numerical methods); robot vision; robust control; 3D-map; calculation speed; free-space observation model; laser beam; outdoor environments; particle filter; robust localization method; Atmospheric measurements; Laser beams; Laser modes; Measurement by laser beam; Particle measurements; Robots; Robustness;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-9319-7
DOI :
10.1109/ROBIO.2010.5723458