I-Corps: Platform for Scaled Autonomous Vehicle Technology
I-Corps: Platform for Scaled Autonomous Vehicle Technology
批准号:
1747688
负责人:
Evangelos Theodorou
金额:
$5.0万
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:
2017-07-01 至 2018-05-31
中文摘要
I-Corps项目的更广泛影响/商业潜力是帮助更快地将安全的自动驾驶汽车推向市场。自动驾驶汽车可以减少美国每年35,000起交通事故中的90%以上,将通勤时间转化为提高的生产力或休闲时间,并彻底改变社会与交通的关系。数十亿美元的资金正被老牌汽车制造商、科技公司、初创公司和研究人员积极投资。到2025年,自动驾驶汽车市场预计将达到270亿美元,到2035年将增长到770亿美元。尽管有这些活动,但在测试自动驾驶车辆的能力方面,目前的两种计算机模拟方法和全尺寸车辆之间仍然存在差距。缩放车辆技术提供了一种中间方法,可以在真实的世界中更快地对新算法和电子设备进行原型设计和测试,而不会产生与全尺寸车辆相关的风险和成本。这将为社会提供巨大的价值,无论是在加速一个大型的新行业,还是在减少交通系统的人员伤亡方面。这个I-Corps项目将调查自动驾驶汽车行业测试平台的商业潜力。 它涉及新理论和算法与在真实的世界中相互作用的硬件系统的结合。该技术平台是一个按比例缩放的车辆测试平台,大小为汽车的1/5,重45磅。 它包括一个传感器套件,车载计算机,并准备开箱即用的自动驾驶测试。使用这些作为自动驾驶汽车测试平台,自动驾驶汽车技术可以在真实的世界中进行测试,而不会危及人员或昂贵的设备。该技术基于一系列原型自动驾驶汽车测试平台,这些测试平台已用于控制、机器学习和计算机视觉研究,并成功应用于自动驾驶领域。
英文摘要
The broader impact/commercial potential of this I-Corps project is to help bring safe self-driving vehicles to market more quickly. Self-driving vehicles could eliminate over 90% of the 35,000 annual traffic fatalities that occur in the United States alone, convert commuting time into increased productivity or leisure time, and completely overhaul society's relationship with transportation. Billions of dollars are actively being invested by established automotive manufacturers, technology companies, startups, and researchers. The self-driving vehicle market is projected to be $27 billion by 2025, and grow to $77 billion by 2035. Despite all of the activity, there is still a gap in the ability to test self-driving vehicles in between the two current methods of computer simulations and full sized vehicles. Scaled vehicle technology provides an intermediate method to enable faster prototyping and testing of new algorithms and electronics in the real world without the risks and costs associated with full sized vehicles. This would provide immense value to society both in terms of accelerating a large new industry and reducing human casualties and injuries of the transportation system.This I-Corps project will investigate the commercial potential of a self-driving vehicle industry testbed. It involves a combination of new theory and algorithms with hardware systems that interact in the real world. The technology platform is a scaled vehicle testbed, 1/5 the size of a car and weighing 45 lbs. It includes a sensor suite, onboard computer, and is ready for self-driving testing out of the box. Using these as autonomous vehicle testbeds, self-driving vehicle technologies can be tested in the real world without endangering people or expensive equipment. This technology is based on a fleet of prototype autonomous vehicle testbeds that have been used for controls, machine learning, and computer vision research successfully applied to the self-driving domain.
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会议论文
Collaborative Research: Real-Time Trajectory Generation Algorithms for Uncertain Autonomous Systems Based on Gaussian Processes
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批准号:1936079
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项目类别:Standard Grant
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资助金额:$23.67万
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财政年份:2020
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负责人:Evangelos Theodorou
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依托单位:
CPS: Medium: Collaborative Research:Virtual Sully: Autopilot with Multilevel Adaptation for Handling Large Uncertainties
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批准号:1932288
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2019
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负责人:Evangelos Theodorou
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依托单位:
Learning Optimal Control Using Forward Backward Stochastic Differential Equations
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批准号:1662523
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资助金额:$34.95万
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财政年份:2017
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负责人:Evangelos Theodorou
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依托单位:
Workshop: Learning, Perception and Control in Robotics and Humans
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批准号:1542265
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项目类别:Standard Grant
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资助金额:$8.82万
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财政年份:2015
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负责人:Evangelos Theodorou
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依托单位:
国内基金
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依托单位: