1,720,990 research outputs found
Mission capable autonomous control systems in the oceans, in the air and in space
No full textThe problem of optimal degree of autonomy and minimal complexity is considered for mission capable systems in spacecrafts and unmanned aeronautical systems. Levels of autonomy and system requirements are discussed. Simple and goal oriented system architectures are summarized and the prospect of plug-andplay systems is outlined. The engineering compromise to be made between degree of autonomy and verifiability of multi-agent systems is pointed out. Three main challenges are highlighted to aid progress of future development of verifiable autonomous vehicle
Real-Time Visal Motion Detection by Spatiotemporal Energy Model Implemented on GPU
No full textThe aim of this study is to develop a real-time visual motion detection system by using physiologically meaningful image processing algorithm. Spatiotemporal energy model has been recognized as the most plausible algorithm corresponding to the jobs in motion detection performed by simple and complex cells existing in area V1 of cats or macaque monkeys. Because of the parallelism of the brain, this algorithm inherently has high parallel performance. Together with the locality, spatiotemporal Gabor filtering and succeeding energy extraction process fit with the architecture of present GPU (Graphic Processing Unit). Enabling real-time motion detection
at each pixel location over the entire input image is fundamental in many applications as for instances in robotics vision and carmounted camera. This system, moreover, is open for further expansion based on the physiological knowledge about mammalian visual system
Real-Time Visal Motion Detection by Spatiotemporal Energy Model Implemented on GPU
Get PDFThe aim of this study is to develop a real-time visual motion detection system by using physiologically meaningful image processing algorithm. Spatiotemporal energy model has been recognized as the most plausible algorithm corresponding to the jobs in motion detection performed by simple and complex cells existing in area V1 of cats or macaque monkeys. Because of the parallelism of the brain, this algorithm inherently has high parallel performance. Together with the locality, spatiotemporal Gabor filtering and succeeding energy extraction process fit with the architecture of present GPU (Graphic Processing Unit). Enabling real-time motion detection
at each pixel location over the entire input image is fundamental in many applications as for instances in robotics vision and carmounted camera. This system, moreover, is open for further expansion based on the physiological knowledge about mammalian visual system
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