I-Corps: Enhanced light detection and ranging imaging by advanced signal processing

I-Corps：通过先进的信号处理增强光探测和测距成像

• 批准号: 1947003
• 负责人: Andreas Velten
• 金额: $ 5万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1947003&HistoricalAwards=false
• 关键词: Corps; Enhanced; light; detection; ranging

The broader impact/commercial potential of this I-Corps project is related to the wide range of applications of light detection and ranging (LiDAR). LiDAR sensors mounted on robots and vehicles are a key component in sensing their environment. With initial applications in automated vehicles, advanced driver assistant systems and fully automated vehicles in the future can potentially reduce the number of accidents caused by inattentive drivers or avoid accidents altogether. Airborne LiDAR allows for 3D mapping of the earth's surface as well as canopy and buildings. This information can be used in insurance, mining, construction planning and other industries. There are also homeland security and defense applications which can benefit from improved models of the environment when operating in hostile. The overall domestic LiDAR market is currently growing rapidly with greater demand for both general and advanced LiDAR signal processing.This I-Corps project aims at harnessing the properties of light particles (photons) for more accurate light detection and ranging (LiDAR) detection. LiDAR sensors use short laser pulses and record the travel time of photons upon reflection by objects. This travel time is proportional to the distance traveled and therefore allows for 3D imaging of the surroundings. Effects such as ambient light, scene reflectivity, and complex inter-reflections in the scene can significantly degrade the quality of the derived images. New signal processing algorithms model these effects on the received photon stream and therefore allow for higher quality scene estimation. Depth information is fused with another property of photons, the wavelength, which encodes the color of the reflected object. Both color and depth information allow for a realistic image of the environment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目更广泛的影响/商业潜力与光探测和测距（LiDAR）的广泛应用有关。安装在机器人和车辆上的LiDAR传感器是感知其环境的关键组件。随着自动驾驶汽车的初步应用，先进的驾驶员辅助系统和未来的全自动驾驶汽车可能会减少因疏忽驾驶员造成的事故数量或完全避免事故。机载激光雷达允许地球表面以及树冠和建筑物的3D映射。这些信息可用于保险、采矿、建筑规划等行业。 还有国土安全和国防应用程序，当在敌对环境中运行时，可以从改进的环境模型中受益。 目前，国内LiDAR市场整体增长迅速，对通用和高级LiDAR信号处理的需求越来越大。I-Corps项目旨在利用光粒子（光子）的特性进行更精确的光探测和测距（LiDAR）探测。LiDAR传感器使用短激光脉冲并记录物体反射时光子的行进时间。该行进时间与行进的距离成比例，因此允许对周围环境进行3D成像。环境光、场景反射率和场景中复杂的相互反射等效果会显著降低派生图像的质量。新的信号处理算法对接收到的光子流的这些影响进行建模，因此允许更高质量的场景估计。深度信息与光子的另一个属性（波长）融合在一起，波长对反射物体的颜色进行编码。颜色和深度信息都能让环境呈现出逼真的图像。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。