I-Corps: Hard platooning device to improve the safety of autonomous vehicles

I-Corps:提高自动驾驶汽车安全性的硬编队装置

基本信息

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of automated transportation solutions that circumvent the typical issues of autonomy. In the proposed technology, a lead vehicle is operated by a human, and automated followers are physically tethered with the smart hard connect device. The proposed device simultaneously generates and transmits vehicle to vehicle information over a secure high-bandwidth wired connection. The transit bus and trucking industries, as well as the United States military, have the potential to benefit. Given the routine proximity to pedestrians and bicyclists, transit agencies have a unique requirement for safety and reliability. These stringent requirements prevent the widespread adoption of the traditional, untethered, fully autonomous transit vehicles. However, these requirements may be readily met by the proposed technology. In the trucking and logistics industries, massive labor shortages can be filled and the productivity of fleet operators increased, without any compromise on safety and reliability. Likewise, the United States military Leader-Follower operations, which uses traditional platooning, may be improved. This I-Corps project is based on the development of an automated vehicle following technology where the vehicles are physically connected. Autonomous vehicles have the potential to provide significant improvements in transportation safety, equity, efficiency, and environmental sustainability; however, widespread adoption has been plagued by safety and reliability questions related to unforeseen edge cases, inclement weather, and cybersecurity. In the proposed technology, a lead vehicle is operated by a human, and automated followers are physically tethered with the smart hard connect device. The proposed device simultaneously generates and transmits vehicle to vehicle information over a secure high-bandwidth wired connection. Thus, whichever path one vehicle can traverse, the entire platoon can traverse. Because the followers pull their own weight, the driver feels as if they are only operating one vehicle. The resultant knowledge advancement will not only support the proposed technology development, but also has the potential to answer fundamental questions in control theory, information theory, materials, and safety.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.
该 I-Corps 项目更广泛的影响/商业潜力是开发自动化交通解决方案,以规避典型的自主问题。在所提出的技术中,引导车辆由人类操作,自动跟随者与智能硬连接设备物理连接。 所提出的设备通过安全的高带宽有线连接同时生成和传输车辆到车辆的信息。 公交巴士和卡车运输行业以及美国军方都有可能受益。由于经常靠近行人和骑自行车的人,交通机构对安全性和可靠性有独特的要求。这些严格的要求阻碍了传统的、不受束缚的、完全自动驾驶的交通车辆的广泛采用。然而,所提出的技术可以很容易地满足这些要求。在卡车运输和物流行业,可以填补大规模的劳动力短缺并提高车队运营商的生产力,而不会影响安全性和可靠性。同样,采用传统排兵方式的美国军事领导-跟随行动可能会得到改进。 该 I-Corps 项目基于自动车辆跟随技术的开发,其中车辆进行物理连接。自动驾驶汽车有潜力显着改善交通安全、公平、效率和环境可持续性;然而,广泛采用一直受到与不可预见的边缘情况、恶劣天气和网络安全相关的安全性和可靠性问题的困扰。 在所提出的技术中,引导车辆由人类操作,自动跟随者与智能硬连接设备物理连接。所提出的设备通过安全的高带宽有线连接同时生成和传输车辆到车辆的信息。因此,无论一辆车可以通过哪条路径,整个排都可以通过。因为跟随者拉动自己的重量,所以驾驶员感觉好像他们只操作一辆车。由此产生的知识进步不仅将支持拟议的技术开发,而且有可能回答控制理论、信息论、材料和安全方面的基本问题。该奖项反映了 NSF 的法定使命,并通过使用评估结果被认为值得支持。基金会的智力价值和更广泛的影响审查标准。

项目成果

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Swaminathan Gopalswamy其他文献

A POMDP Treatment of Vehicle-Pedestrian Interaction: Implicit Coordination via Uncertainty-Aware Planning
车辆与行人交互的 POMDP 处理:通过不确定性感知规划进行隐式协调
Reshaping Local Path Planner
重塑局部路径规划器
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Akshay Sarvesh;A. Carroll;Swaminathan Gopalswamy
  • 通讯作者:
    Swaminathan Gopalswamy
Localization in Global Positioning System–Denied Environments Using Infrastructure-Embedded Analog-Digital Information
使用基础设施嵌入式模拟数字信息在全球定位系统受限环境中进行定位
SMA-NBO: A Sequential Multi-Agent Planning with Nominal Belief-State Optimization in Target Tracking
SMA-NBO:目标跟踪中具有标称置信状态优化的顺序多智能体规划
Nonlinear Control of a Ground Vehicle using Data-Driven Dynamic Models
使用数据驱动的动态模型对地面车辆进行非线性控制
  • DOI:
    10.4271/2020-01-0171
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Samir Hassen;Kenny Chour;Andrew Weaver;Swaminathan Gopalswamy
  • 通讯作者:
    Swaminathan Gopalswamy

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