DocumentCode
575274
Title
Robust parameter estimation of road condition by Kinect sensor
Author
Tanaka, Masahiro
Author_Institution
Dept. of Intell. & Inf., Konan Univ., Kobe, Japan
fYear
2012
fDate
20-23 Aug. 2012
Firstpage
197
Lastpage
202
Abstract
This paper deals with the problem of detecting convex and/or concave parts on the road surface for mobile vehicles by using a Kinect sensor. Ground condition detector is essential for mobile vehicles such as autonomous mobile robots. Also for manned vehicles such as mobility scooters, it should be useful in the dark. By using range sensors such as Kinect, range data on grid points are available. But, due to unstable sensor attachment angles, the pitch and roll angles are not fixed. In this paper, the detailed algorithm for estimating the pitch and roll angles is presented based on robust estimation scheme.
Keywords
collision avoidance; estimation theory; laser ranging; mobile robots; sensors; Kinect sensor; autonomous mobile robot; concave part detection; convex part detection; ground condition detector; manned vehicle; mobile vehicle; mobility scooter; pitch angle; range sensor; road condition; road surface; robust parameter estimation; roll angle; sensor attachment angle; Cameras; Minimization; Motorcycles; Roads; Robot sensing systems; Robustness; Kinect sensor; ground detection; measurement model; obstacle detection; robust estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location
Akita
ISSN
pending
Print_ISBN
978-1-4673-2259-1
Type
conf
Filename
6318433
Link To Document