Title :
A novel landmark tree based self-localization and path-planning method for an intelligent wheelchair
Author :
Xiaojian Zhao ; Li, Zhao Xueen ; Tieniu Tan
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Abstract :
In this paper a novel approach of self-localization for an intelligent wheelchair is presented. Different from previous approaches we adopt a two-stage matching strategy to position control of an intelligent wheelchair, which is necessary if the current location is not known due to re-initialisation or an accident. Based on the landmark tree developed here, we combine a method similar to image-retrieval and a Bayes law based matching algorithm to locate the wheelchair in multiple resolutions, which is related to the requirement of task-completion. A new path-planning algorithm is introduced, which is originated from our landmark tree and is easy to use
Keywords :
Bayes methods; handicapped aids; intelligent control; mobile robots; navigation; path planning; pattern matching; position control; trees (mathematics); vehicles; Bayes method; intelligent wheelchair; landmark tree; navigation; path-planning; pattern matching; position control; self-localization; Cameras; Image retrieval; Laboratories; Mobile robots; Path planning; Pattern recognition; Robot vision systems; Shape; Tail; Wheelchairs;
Conference_Titel :
Robot and Human Interactive Communication, 2000. RO-MAN 2000. Proceedings. 9th IEEE International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-6273-X
DOI :
10.1109/ROMAN.2000.892475