The paper approaches the problem of the command functions of galvanometer-based scanners （GS） that are necessary to produce the linear plus parabolic scanning function of the GS, which we have proved previously to p...The paper approaches the problem of the command functions of galvanometer-based scanners （GS） that are necessary to produce the linear plus parabolic scanning function of the GS, which we have proved previously to produce the highest possible duty cycle （i.e., time efficiency） of the device. We have completed this theoretical aspect （which contradicted what has been stated previously in the literature, where it has been considered that the linear plus sinusoidal scanning function was the best） with the experimental study of the most used scanning functions of the GSs （sawtooth, sinusoidal and triangular）, with applications in biomedical imaging, in particular in optical coherence tomography, demonstrating that the triangular function is always the best one to be applied, from both an optical and a mechanical point of view. In the present study the input voltage/command function which should be applied to the GS to produce the desired triangular scanning function （with controlled non-linearity for the fastest possible stop-and-turn portions） was determined analytically, in relationship with the active torque that drives the device. This command function is analyzed with regard to the specific, respectively required parameters of the GS： natural frequency and damping factor, respectively scan speed and amplitude. The modeling in an open loop control structure of the GS is finally discussed as a trade-off between using the highest possible duty cycle and minimizing the maximum peaks of the input voltage.展开更多
结合行业场景的实践应用,是当前人工智能技术普遍面临的问题。面向安防应用场景,研究无人驾驶技术的实践落地--智能网联巡逻车。感知系统集成了视觉、雷达、惯性导航等多种传感器,利用人工智能、数据融合等关键技术实现对平台本体、道...结合行业场景的实践应用,是当前人工智能技术普遍面临的问题。面向安防应用场景,研究无人驾驶技术的实践落地--智能网联巡逻车。感知系统集成了视觉、雷达、惯性导航等多种传感器,利用人工智能、数据融合等关键技术实现对平台本体、道路环境及目标行为的准确识别。将人类经验(human intelligence,HI)的场景认知和人工智能(artificial intelligence,AI)的计算认知相结合,构建面向安防场景的混合智能认知系统。基于"人在回路"系统架构,依托5G通信、V2X(vehicle to everything)、边缘计算等技术,将自动驾驶和指挥调度融合,设计了人、机器、环境之间等多种交互模式,保证了系统安全、可靠、稳定运行,大幅提高工作效率。展开更多
基金the support of the US Department of State through Fulbright Scholar Grant 474/2009
文摘The paper approaches the problem of the command functions of galvanometer-based scanners （GS） that are necessary to produce the linear plus parabolic scanning function of the GS, which we have proved previously to produce the highest possible duty cycle （i.e., time efficiency） of the device. We have completed this theoretical aspect （which contradicted what has been stated previously in the literature, where it has been considered that the linear plus sinusoidal scanning function was the best） with the experimental study of the most used scanning functions of the GSs （sawtooth, sinusoidal and triangular）, with applications in biomedical imaging, in particular in optical coherence tomography, demonstrating that the triangular function is always the best one to be applied, from both an optical and a mechanical point of view. In the present study the input voltage/command function which should be applied to the GS to produce the desired triangular scanning function （with controlled non-linearity for the fastest possible stop-and-turn portions） was determined analytically, in relationship with the active torque that drives the device. This command function is analyzed with regard to the specific, respectively required parameters of the GS： natural frequency and damping factor, respectively scan speed and amplitude. The modeling in an open loop control structure of the GS is finally discussed as a trade-off between using the highest possible duty cycle and minimizing the maximum peaks of the input voltage.
文摘结合行业场景的实践应用,是当前人工智能技术普遍面临的问题。面向安防应用场景,研究无人驾驶技术的实践落地--智能网联巡逻车。感知系统集成了视觉、雷达、惯性导航等多种传感器,利用人工智能、数据融合等关键技术实现对平台本体、道路环境及目标行为的准确识别。将人类经验(human intelligence,HI)的场景认知和人工智能(artificial intelligence,AI)的计算认知相结合,构建面向安防场景的混合智能认知系统。基于"人在回路"系统架构,依托5G通信、V2X(vehicle to everything)、边缘计算等技术,将自动驾驶和指挥调度融合,设计了人、机器、环境之间等多种交互模式,保证了系统安全、可靠、稳定运行,大幅提高工作效率。
