来源：联通科技创新 2024-04-19 08:30
现代生活中，智能系统无处不在。比如，自动驾驶以及道路智能感知识别就是借助于各类传感器设备，来收集车辆和道路周边环境各类信息，进行分析处理后提供路况信息和感知服务。
Intelligent systems are ubiquitous in modern life. For instance, autonomous driving and intelligent road perception rely on various sensor devices to collect information about vehicles and the surrounding road environment, which is then analyzed and processed to provide traffic information and perception services.
传统单一传感器在识别复杂交通场景时存在局限性,而多传感器融合则能够整合多种异构数据源,提供更加精准全面的感知能力。简单来说，多传感器融合是将来自多种传感器的信息和数据，以一定的准则进行自动综合分析，最终产生对观测环境的一致性解释，从而完成决策和估计。
Traditional single-sensor systems have limitations in identifying complex traffic scenarios, while multi-sensor fusion can integrate multiple heterogeneous data sources to provide more accurate and comprehensive perception capabilities. Simply put, multi-sensor fusion could automatically synthesize and analyze information and data from multiple sensors according to certain criteria, ultimately producing a consistent interpretation of the observed environment so as to complete decision-making and estimation.
多源融合感知系统集成了摄像头、毫米波雷达、激光雷达等多种传感器设备,就像是赋予交通系统“眼睛”一般,能够全方位捕捉道路上车辆、行人、障碍物等目标的位置、速度、方向等动态信息。通过融合不同传感器数据,利用先进的感知算法,实现对交通参与者的精准识别和连续追踪。值得一提的是，该算法采用了基于边缘云的分布式架构部署，可实现多路口的感知并计算处理，形成一套安全高效的基于5G网络的智能交通融合感知系统。
The multi-source fusion perception system integrates various sensor devices such as cameras, millimeter-wave radars, and laser radars, acting like "eyes" for the traffic system, able to omnidirectionally capture the position, speed, direction, and other dynamic information of vehicles, pedestrians, and obstacles on the road. By fusing data from different sensors and utilizing advanced perception algorithms, it achieves precise identification and continuous tracking of traffic participants. It is worth mentioning that the algorithm adopts a distributed architecture based on edge cloud deployment, enabling multi-intersection perception and computation processing, forming a secure and efficient intelligent traffic fusion perception system based on 5G networks.
因此,通过使用这套系统，可以衍生出诸多创新应用场景,如全域交通信号最优控制、交通事故监测与分析、安全场景的预警与信息分发、违章车辆追踪等，为解决城市道路拥堵与安全提供思路，赋能智慧城市。未来，智能交通多源融合感知系统将演进为更加智能、高效、可靠的城市数字神经系统,助力构建安全、绿色、智慧的现代化交通生态。
Therefore, by using this system, various innovative application scenarios can be derived, such as optimal control of traffic signals across the entire domain, traffic accident monitoring and analysis, safety scenario warning and information dissemination, tracking of traffic violation vehicles, and more, providing insights for addressing urban road congestion and safety issues, and enabling smart cities. In the future, the intelligent transportation multi-source fusion perception system will evolve into a more intelligent, efficient, and reliable urban digital nervous system, helping to build a safe, green, and intelligent modern transportation ecosystem.