I-Corps: Development of Active Driving Assistance (ADA) Systems for Safety Enhancement and Real Time Traffic Mapping

I-Corps：开发主动驾驶辅助 (ADA) 系统以增强安全性和实时交通地图

• 批准号: 1613100
• 负责人: Weidong Xiang
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-12-15 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1613100&HistoricalAwards=false
• 关键词: Corps; Development; Active; Driving; Assistance

As more and more driverless vehicles are prepared to be introduced into the marketplace, companies such as Qualcomm, Cisco, and numerous OEMs including BMW, Daimler, Ford, Honda and Toyota are developing systems to identify in real time the traffic environment and conditions encountered by these vehicles while driving. Their attempt to provide rapid and accurate information can be limited by the complexity of the communication systems used, weather conditions and signal interference. This team believes that its proposed technology, using a smartphone based system that gathers, processes and delivers information, via real-time message exchange between host and neighboring vehicles, can help to overcome these limitations, providing useful information more quickly compared to existing technology and products, and thus reduces the chance for crashes and other negative events. The proposed technology can also be used by today's driver-controlled vehicles to determine driving directions that are based on our ability to better sense real-time trafficconditions. This provides the most efficient route to a destination, which is critical for users such as first responders and logistics carriers who need to get to a destination quickly and cost-effectively.The proposed system is a smart-phone based API integrating short-range communication system (DSRC), global positioning system (GPS) satellite data and video streams of real time traffic and road conditions the vehicle is encountering. Moreover, a digital beam forming antenna array is adopted to further improves signal strength and limits interference from other directions. The images captured are processed in real time to recognize drivable regions, and to locate and track vehicles through effective signal processing algorithms. This provides drivers or self-driving systems with real time information about surrounding transportation environments quickly andthus enhance driving efficacy.

随着越来越多的无人驾驶车辆准备引入市场，高通、思科等公司以及包括宝马、戴姆勒、福特、本田和丰田在内的众多OEM正在开发系统，以真实的时间识别这些车辆在行驶时遇到的交通环境和条件。由于所用通信系统的复杂性、天气条件和信号干扰，它们提供迅速和准确信息的努力可能受到限制。该团队认为，其提出的技术，使用基于智能手机的系统，通过主机和相邻车辆之间的实时消息交换收集，处理和传递信息，可以帮助克服这些限制，与现有技术和产品相比，更快地提供有用的信息，从而减少撞车和其他负面事件的机会。这项技术也可以被今天的驾驶员控制的车辆用来确定驾驶方向，这是基于我们更好地感知实时交通状况的能力。该系统是一个基于智能手机的API，集成了短距离通信系统（DSRC）、全球定位系统（GPS）卫星数据和车辆遇到的真实的实时交通和道路状况的视频流。此外，采用数字波束形成天线阵列，进一步提高信号强度，限制来自其他方向的干扰。所捕获的图像经过真实的实时处理，以识别可行驶区域，并通过有效的信号处理算法定位和跟踪车辆。这为驾驶员或自动驾驶系统快速提供了有关周围交通环境的真实的时间信息，从而提高了驾驶效率。