NSF/USDOT Partnership for Exploratory Research - ICSST: Real-time Collision Warning at Traffic Intersections

NSF/USDOT 探索性研究合作伙伴关系 - ICSST：交通路口实时碰撞警告

• 批准号: 0127893
• 负责人: Nikolaos Papanikolopoulos
• 金额: $ 9.98万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2004-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0127893&HistoricalAwards=false
• 关键词: NSF; USDOT; Partnership; Exploratory; Research

PapanikolopoulosInstitution: University of Minnesota - Twin Cities.NSF/USDOT: Real-time collision Warning at Traffic IntersectionsCollisions between vehicles at urban and rural intersections account for nearly a third of all reported crashes in the United States. This research entails developing some of the components of a real-time system which uses cameras to continuously gather traffic data at intersections (e.g., vehicle speeds, positions, trajectories, accelerations/decelerations, vehicle sizes, signal status, etc.), applies efficient algorithmic techniques to detect potential collisions and near-misses, and then issues suitable countermeasures. At this stage, the goal is to establish the feasibility of this approach using both computer simulations and field tests at actual intersections (urban intersections in the Twin Cities---Minneapolis and St. Paul, MN). The proposed work has as main emphasis the design of efficient and robust computer vision and collision-detection algorithms that can address the intersection collision warning problem.

Papanikolopoulosinstitution：明尼苏达大学 - 双城市/USDOT：在城市和农村交叉口的车辆之间的交通交易所碰撞警告占美国所有报道坠机事故的近三分之一。这项研究需要开发实时系统的某些组件，该系统使用相机在交叉点（例如，车速，位置，轨迹，加速度/加速度，减速，车辆大小，信号状态等）在交叉点上连续收集交通数据，应用了有效的算法技术，以检测潜在的算法技术，然后对近距离碰撞和近距离对比，并适当地对不起。在此阶段，目的是使用计算机模拟和现场测试在实际交叉点（双城的城市交叉点---明尼阿波利斯和明尼苏达州的圣保罗）建立这种方法的可行性。拟议的工作是主要重点是设计有效，强大的计算机视觉和碰撞检测算法，该算法可以解决交叉路口碰撞警告问题。