I-Corps: Advanced Driver Assistance Systems for use in Adverse Weather Operations

I-Corps：用于恶劣天气操作的高级驾驶员辅助系统

• 批准号: 2032744
• 负责人: Zachary Asher
• 金额: $ 5万
• 依托单位: Western Michigan University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2032744&HistoricalAwards=false
• 关键词: Corps; Advanced; Driver; Assistance; Systems

The broader impact/commercial potential of this I-Corps project is the development of safe automotive transportation in inclement weather. This project is based on the development of advanced computer vision algorithms that provide more reliable driving information in inclement weather. The improvements in vehicle operation from commercialization of this technology may directly lower the number of accidents. This technology will lower insurance costs and payouts as it minimizes risk and increases the safety of passengers. The goal of this project is to add the proposed technology to the current Advanced Driver Assistance Systems (ADAS) functionality; i.e., include the new abilities alongside other automotive applications such as blind spot monitoring, lane-keep assistance, and forward collision warnings. In addition, this technology may help to advance the commercialization of self-driving vehicles. Due to the flexibility of implementation, it is expected that there may be a significant impact on the automotive transportation community over the next decade.This I-Corps project is based on the development of advanced computer vision algorithms that provide more reliable driving information in inclement weather. Using a camera as the proposed sensor input, combined with proprietary computer vision algorithms, it is possible to provide the Advanced Driver Assistance Systems (ADAS) with a drivable region on snow-covered roads. The proposed computer vision software was developed from research conducted on how to improve autonomous vehicle performance in adverse weather conditions. This research supports the development of proprietary image processing, image filtering, and machine learning techniques.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项目的更广泛的影响/商业潜力是在恶劣天气下开发安全的汽车运输。该项目基于先进计算机视觉算法的开发，可在恶劣天气下提供更可靠的驾驶信息。这项技术的商业化对车辆运行的改进可能会直接降低事故数量。这项技术将降低保险成本和支出，因为它最大限度地减少了风险，提高了乘客的安全性。该项目的目标是将拟议的技术添加到当前的高级驾驶员辅助系统（ADAS）功能中;即，包括新的能力以及其他汽车应用，如盲点监测，车道保持辅助和前方碰撞警告。 此外，这项技术可能有助于推进自动驾驶汽车的商业化。由于实施的灵活性，预计在未来十年内可能会对汽车运输界产生重大影响。这个I-Corps项目基于先进的计算机视觉算法的开发，这些算法可以在恶劣天气下提供更可靠的驾驶信息。使用摄像头作为拟议的传感器输入，结合专有的计算机视觉算法，可以在积雪覆盖的道路上为高级驾驶员辅助系统（ADAS）提供可驾驶区域。拟议的计算机视觉软件是根据如何在恶劣天气条件下提高自动驾驶汽车性能的研究开发的。该研究支持专有图像处理、图像过滤和机器学习技术的开发。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。