Title :
Fusing vision and range for motion estimation in hardware
Author :
Kolodko, Julian ; Valcic, Ljubo
Author_Institution :
Sch. of Microelectron. Eng., Griffith Univ., Nathan, Qld., Australia
Abstract :
Obtaining and segmenting motion information in real time requires both an appropriate algorithm and a hardware implementation of that algorithm so that the massive video data stream is processed in a timely manner. This paper details an algorithm suitable for hardware implementation that provides motion information for autonomous vehicle navigation. This algorithm utilizes range information to disambiguate visual data. Simulation results illustrate the correct operation of our algorithm.
Keywords :
image segmentation; motion estimation; navigation; remotely operated vehicles; sensor fusion; video signal processing; autonomous vehicle navigation; hardware implementation; motion estimation; motion information; video data stream; Australia; Biomedical optical imaging; Brightness; Computational complexity; Equations; Hardware; Image motion analysis; Image segmentation; Motion estimation; Optical sensors;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1280277
