Title :
A motion estimation system
Author :
Kolodko, Julian ; Vlacic, Ljubo
Author_Institution :
Intelligent Control Syst. Lab., Griffith Univ., Nathan, Qld., Australia
Abstract :
The ability to navigate intelligently among dynamic obstacles is critical for autonomous vehicles though the majority of navigation and sensing systems are not explicitly designed for dynamic environments. In our work we consider the design of sensing system that is able to extract useful motion information using a combination of range and visual data. The generated information is analogous to the information generated by the short-range process of biological visual systems. In this paper we give an outline of our motion estimation algorithm, present preliminary simulation results and describe a hardware implementation of this algorithm.
Keywords :
intelligent robots; mobile robots; motion estimation; navigation; sensor fusion; autonomous vehicles; biological visual systems; dynamic obstacles; motion estimation system; motion information; navigation systems; range data; sensing systems; visual data; Biological system modeling; Data mining; Hardware; Intelligent vehicles; Mobile robots; Motion estimation; Navigation; Remotely operated vehicles; Vehicle dynamics; Visual system;
Conference_Titel :
Industrial Electronics, 2003. ISIE '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7912-8
DOI :
10.1109/ISIE.2003.1267969