Title :
Object’s oriented bounding box based representation using laser range finder ensory data
Author :
Kmiotek, P. ; Ruichek, Yassine
Author_Institution :
Syst. & Transp. Lab., Univ. of Technol. of Belfort, Montbeliard
Abstract :
One of the most important tacks for tracking and trajectory planning is how to represent suitably objects, evolving in complex environments (for example urban environment), in which different objects (pedestrians, bikes, vehicles) move unpredictably and close to each other. In the framework of the development of a multiple objects tracking system using multisensor fusion, this paper presents an oriented bounding box (OBB) representation. Two variants of the OBB construction algorithm, depending on how objects contours are determined, are proposed. This two variants are evaluated and compared in terms of complexity and accuracy using measurements coming from a laser range finder.
Keywords :
image representation; sensor fusion; laser range finder sensory data; multiple objects tracking system; multisensor fusion; object oriented bounding box-based representation; trajectory planning; Bicycles; Cities and towns; Joining processes; Navigation; Remotely operated vehicles; Testing; Trajectory; Transportation; Vehicle dynamics; Vehicular and wireless technologies; convex-hull construction; line segment extraction; objects representation; tracking of multiple objects;
Conference_Titel :
Vehicular Electronics and Safety, 2008. ICVES 2008. IEEE International Conference on
Conference_Location :
Columbus, OH
Print_ISBN :
978-1-4244-2359-0
Electronic_ISBN :
978-1-4244-2360-6
DOI :
10.1109/ICVES.2008.4640879