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

随着越来越多的无人驾驶汽车准备进入市场，高通（Qualcomm）、思科（Cisco）等公司以及宝马（BMW）、戴姆勒（Daimler）、福特（Ford）、本田（Honda）和丰田（Toyota）等众多原始设备制造商都在开发系统，以实时识别这些车辆在行驶时遇到的交通环境和条件。他们提供快速和准确信息的努力可能受到所使用的通信系统的复杂性、天气条件和信号干扰的限制。该团队认为，他们提出的技术，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来收集、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，从而减少碰撞和其他负面事件的机会。这项技术也可以应用于今天的司机控制的车辆，根据我们更好地感知实时交通状况的能力来确定行驶方向。这为到达目的地提供了最有效的路线，这对于需要快速且经济高效地到达目的地的第一响应者和物流承运人等用户至关重要。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）卫星数据以及车辆所遇到的实时交通和路况视频流。此外，采用数字波束形成天线阵列进一步提高了信号强度，限制了其他方向的干扰。捕获的图像进行实时处理，以识别可驾驶区域，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提供了有关周围交通环境的实时信息，从而提高了驾驶效率。

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.