Title :
Design of a dedicated CNN chip for autonomous robot navigation
Author :
Salerno, Mario ; Sargeni, Fausto ; Bonaiuto, Vincenzo
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
Obstacle avoidance is the main issue in autonomous robotics. It requires a three-dimensional effective environment sensing in real time. Among the others, the stereo vision approach to environmental information extraction seems to be very appealing, even if it leads an extremely high computational cost. However, a high performance implementation of this algorithm on a cellular neural network is able to overcome these difficulties. In the paper, the design of a CNN chip well suited for this algorithm is presented. This chip, performing a real time processing of the stereo vision data, will improve the cruising speed of a robotic platform
Keywords :
application specific integrated circuits; cellular neural nets; collision avoidance; mobile robots; neural chips; robot vision; stereo image processing; autonomous robot navigation; cruising speed; dedicated CNN chip; obstacle avoidance; robotic platform; stereo vision; Algorithm design and analysis; Cellular neural networks; Computational efficiency; Data mining; Head; Navigation; Robot sensing systems; Robot vision systems; Stereo vision; TV;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876849
