LEARNING
A new board for CNN stereo vision algorithm
Mário Sérgio Salerno, F. Sargeni, Vincenzo Bonaiuto, Sergio Taraglio, Andrea Zanela
- 发表年份
- 2002
- 引用次数
- 3
摘要
Artificial vision for environment recognition is a very useful tool in autonomous robotics. Specifically the use of stereo vision algorithms implemented via a hardware neural architecture allows real time scene reconstruction. In this paper the follow-on of previous work on an analogue hardware Cellular Neural Network implementation of the algorithm is presented. In this paper a new CNN based PCI electronic board is presented.
关键词
Computer scienceArtificial intelligenceComputer visionStereopsisRoboticsConvolutional neural networkCellular neural networkMachine visionArchitectureArtificial neural network
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