SBIR Phase I: Micro-Fluidic LiDAR for Autonomous Vehicles

SBIR 第一阶段：用于自动驾驶汽车的微流控激光雷达

• 批准号: 1747116
• 负责人: Andrew Miner
• 金额: $ 22.5万
• 依托单位: Mirada Technologies Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1747116&HistoricalAwards=false
• 关键词: SBIR; Phase; Micro; Fluidic; LiDAR

The broader impact/commercial potential of this project is to hasten the deployment of autonomous transportation systems, which stand to reduce driving accidents and fatalities, enable new paradigms in urban design, reduce vehicle traffic, increase automobile efficiency, and improve air quality, benefiting the immediate health of drivers and non-drivers alike. Advanced Driver Assistance Systems (ADAS) are simpler implantations of semi-autonomous controls systems, but are already saving lives by providing intelligent cruise control, lane departure warnings, steering assistance, and preemptive emergency braking. As ADAS improves through advanced sensor hardware developed in this work and becomes more widely deployed, more accident will be avoided and lives saved. Autonomous vehicles are expected to accelerate current trends from private ownership of multiple vehicles to transportation services, such as Uber and Lyft, and autonomous vehicle services, a trend evident in New York city and San Francisco, where parking lot capacity is dropping. As carpool lanes have promoted wiser commuting and reduced congestion, future autonomous lanes can enable platooning, where vehicles travel at reduced distances between each other at high speed, reducing drag, increasing fuel economy, and better utilizing public infrastructure.This Small Business Innovation Research (SBIR) Phase I project will result in a vision system that delivers three dimensional data of objects in view, allowing for the widespread adoption of delivery robots, drones, advanced driver safety systems in vehicles, and autonomous vehicles. To deliver performance and reliability at a cost that enabled wide adoption, the company will address the challenges facing incumbent technologies with two key technological innovations: A high speed, wide angle laser beam steering technology based on magneto-hydro-dynamics, and the use of neutrally buoyant optomechanics. These two innovations allow for light beams to be swept across a wide field of view, delivering 3D point cloud data at high frame rate with operational immunity to vibrations from road hazards such as pot holes and speed bumps. The end objective of the research is to demonstrate a fully functionally imaging system operating with components developed in this work. It is anticipated that the developed components will implement precise spatial control of laser sources by a low cost electromagnetic drive motor, demonstrating performance metrics consistent with deployment on production vehicles.

该项目的更广泛的影响/商业潜力是加快自主运输系统的部署，这些系统将减少驾驶事故和死亡，使城市设计中的新范式，降低车辆交通，提高汽车效率，提高空气质量并提高空气质量，使驾驶员和非驱动器的立即健康受益。高级驾驶员援助系统（ADA）是半自主控制系统的简单植入，但已经通过提供智能巡航控制，车道出发警告，转向援助和先发制人的紧急制动来挽救生命。 随着ADA通过这项工作中开发的高级传感器硬件的改善，并变得更加广泛地部署，将避免更多事故并挽救生命。 预计自动驾驶汽车将加速当前的趋势，从多辆汽车的私人所有权到运输服务，例如Uber和Lyft，以及自动驾驶汽车服务，这是纽约市和旧金山的趋势，该趋势正在停车场下降。 As carpool lanes have promoted wiser commuting and reduced congestion, future autonomous lanes can enable platooning, where vehicles travel at reduced distances between each other at high speed, reducing drag, increasing fuel economy, and better utilizing public infrastructure.This Small Business Innovation Research (SBIR) Phase I project will result in a vision system that delivers three dimensional data of objects in view, allowing for the widespread adoption of交付机器人，无人机，车辆中的高级驾驶员安全系统和自动驾驶汽车。 为了以启用广泛采用的成本提供性能和可靠性，该公司将通过两项关键技术创新来应对现有技术面临的挑战：基于磁性 - 热动力学的高速，广角激光束转向技术，以及中性浮力的副opoyant Optomenerics的使用。 这两项创新允许光束在广阔的视野中扫除，以高框架速率传递3D点云数据，并具有对诸如锅孔和速度颠簸等道路危害的振动的操作免疫力。 该研究的最终目的是证明具有本工作中开发的组件运行的完全功能成像系统。预计开发的组件将通过低成本的电磁驱动器电动机实现激光源的精确空间控制，这表明性能指标与生产工具的部署一致。