感知-通信-计算融合的智能车联网挑战与趋势

 

 

摘要：针对单车感知无法满足未来自动驾驶安全需求的现状，面向多车传感器信息融合与时效性共享问题，提出了基于感知-通信-计算融合的智能车联网方法与解决思路。该方法有助于提高自动驾驶车辆的协同环境感知能力，并通过移动边缘计算（MEC）技术降低车间感知信息传输负载，提高多车协同的信息融合与处理效率，最终实现基于多车智能协同的安全自动驾驶。
关键词：感知-通信-计算融合；智能车联网；自动驾驶；移动边缘计算


Abstract：The sensing function of single vehicle can not satisfy the safety requirements of future automatic driving. Facing the problem of multi-vehicle sensing information fusion and timely sharing, the sensing, communication and computing integration technology is proposed in this paper to improve the cooperative environment sensing capability of autonomous vehicles. The mobile edge computing (MEC) is introduced to reduce the inter-vehicle information transmission load and improve the efficiency of information fusion and processing. Finally, the secure autonomous driving can be realized via multi-vehicle intelligent cooperation.
Keywords: sensing-communication-computing integration; intelligent Internet of vehicle; autonomous driving; mobile edge computing