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High performance system-on-chip implementation for object recognition of mobile robot

机译:用于对象识别移动机器人的高性能系统的片上实现

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Robot is being more intelligent with the visual information and analysis. Specially, the functionality of the object or scene recognition with a high accuracy is essential for the autonomous control and navigation. However, they are too complicated to be implemented in an embedded platform for mobile robots driven by a battery. In this paper, for the high processing speed with low power consumption and small form factor, we propose the architecture of System-on-Chip including the Very Large Scale Integration (VLSI) based on Speeded Up Robust Features (SURF). Finally, the dedicated chip using a 55nm low power process is implemented and integrated with a commercial robot successfully.
机译:通过视觉信息和分析,机器人正在更智能。特别是,具有高精度的对象或场景识别的功能对于自主控制和导航至关重要。然而,它们太复杂,不能在由电池驱动的移动机器人的嵌入式平台中实现。在本文中,对于低的功耗和小型形状尺寸的高处理速度,我们提出了基于加速鲁棒特征(冲浪)的体内片的架构,包括非常大规模集成(VLSI)。最后,使用55nm低功率过程的专用芯片成功地与商业机器人集成。

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