DocumentCode
1583533
Title
Digital Elevation Map estimation by vision-lidar fusion
Author
Malartre, Florent ; Feraud, Thomas ; Debain, Christophe ; Chapuis, Roland
Author_Institution
LASMEA, Aubiere, France
fYear
2009
Firstpage
523
Lastpage
528
Abstract
This paper is about environment perception for navigation system in real outdoor applications. Unlike other approaches that try to detect an obstacle of binary state, we consider here a Digital Elevation Map (DEM). This map has to be built in regards to the guidance system´s needs. These needs depend on the vehicle capabilities, its dynamical constraints, its speed etc... Starting with the navigation system´s needs, we establish a perception strategy to fill the DEM the most accuratly possible. This stategy allows to efficiently improve perception capability (sensors and computation capabilities) of our robot. Then, we proposed a system based on this perception strategy by the combinaison of vision and rangefinder.
Keywords
Kalman filters; SLAM (robots); laser ranging; mobile robots; nonlinear filters; path planning; robot vision; visual perception; SLAM approach; digital elevation map estimation; environment perception; extended Kalman filter; navigation guidance system; rangefinder; real outdoor applications; robot perception capability; vision-lidar fusion; Biomimetics; Cameras; Geometry; Military computing; Mobile robots; Navigation; Robot sensing systems; Robot vision systems; Robotics and automation; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-4774-9
Electronic_ISBN
978-1-4244-4775-6
Type
conf
DOI
10.1109/ROBIO.2009.5420701
Filename
5420701
Link To Document