SBIR Phase II: Resonant Light Detection and Ranging
SBIR Phase II: Resonant Light Detection and Ranging
批准号:
1738472
负责人:
Christopher Brown
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-15 至 2020-02-29
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This Small Business Innovation Research (SBIR) Phase II project will develop a resonant light detection and ranging (R-LIDAR) distance sensor based upon use of an optomechanical beam scanning element actuated at resonant frequency. The broader impact of this project is to commercialize distance sensing instrumentation that advances the development of robotic and autonomous systems (RAS) by providing improved performance and order-of-magnitudes reduction in sensor size and cost. The development of RAS technologies could benefit society by increasing the productivity of economic activities in industries that include: mining, oil and gas, transportation, manufacturing, construction, agriculture, forestry, and defense. These industries are commercially significant and accounted for 24% of US GDP in 2015. Upon development, the R-LIDAR system is expected to make a commercial impact in a total addressable market for light detection and ranging (LIDAR) distance sensors that is expected to reach $739 million/year by 2018. Successful development of the R-LIDAR instrument will also pioneer opportunities for resonant scanning instrumentation in related optical applications that include microscopy, endoscopy, light machining, and display. Resonant beam scanners provide robust high-speed and high-performance operation that address size, weight, and power (SWAP) consumption limitations in state of the art light LIDAR distance sensors. The key outcome of the SBIR Phase I project was the successful integration of a resonant optomechanical element into an R-LIDAR distance sensor, demonstrating a 125 X 125 pixel field-of-view acquired at a 20 Hz frame rate. The SBIR Phase II project seeks to advance R-LIDAR instrumentation through (1) development of low-SWAP robust scanning elements, (2) techniques and instrumentation that allow for improved signal to noise ratio and high-rate data acquisition from pulsed time-of-flight LIDAR sensors, and (3) increased ranging capability of low-SWAP R-LIDAR instrumentation. Successful completion of these technical objectives will result in a distance sensing technology that will be particularly useful for high-accuracy surveying and inspection applications conducted using small unmanned aircraft system (S-UAS), where size and payload constraints are acute.
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Collaborative Research: Three-Dimensional Analysis of Dental Microwear in Primates
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财政年份:2003
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SBIR Phase I: Fractal-Based Packing and Tiling Algorithms in Surface Metrology
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批准号:9761205
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财政年份:1998
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负责人:Christopher Brown
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依托单位:
CISE Postdoctoral Program: Real-time Viewpoint Control, Modeling and Reconstruction
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批准号:9503996
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项目类别:Standard Grant
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资助金额:$4.56万
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财政年份:1995
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负责人:Christopher Brown
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依托单位:
Modeling and Learning Selective Perception
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批准号:9306454
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项目类别:Continuing Grant
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财政年份:1994
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依托单位:
CISE Research Instrumentation: "Multi-Institutional Research in Active Vision"
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批准号:9121975
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资助金额:$3.7万
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财政年份:1992
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Gaze Control, Motor Skill, and Prediction
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财政年份:1990
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Parallel Laboratory for Real Time Vision and Robotics
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批准号:8822724
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项目类别:Continuing Grant
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资助金额:$154.3万
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财政年份:1989
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Theory and Techniques For Low-Level Vision: Hough Transform, Color, and Motion (Computer Research)
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财政年份:1983
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依托单位:
国内基金
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