來源：聯通科技創新 2024-04-19 08:30
現代生活中，智能系統無處不在。比如，自動駕駛以及道路智能感覺識别就是借助于各類傳感器裝置，來收集車輛和道路周邊環境各類資訊，進行分析處理後提供路況資訊和感覺服務。
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.
傳統單一傳感器在識别複雜交通場景時存在局限性,而多傳感器融合則能夠整合多種異構資料源,提供更加精準全面的感覺能力。簡單來說，多傳感器融合是将來自多種傳感器的資訊和資料，以一定的準則進行自動綜合分析，最終産生對觀測環境的一緻性解釋，進而完成決策和估計。
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.
多源融合感覺系統內建了攝像頭、毫米波雷達、雷射雷達等多種傳感器裝置,就像是賦予交通系統“眼睛”一般,能夠全方位捕捉道路上車輛、行人、障礙物等目标的位置、速度、方向等動态資訊。通過融合不同傳感器資料,利用先進的感覺算法,實作對交通參與者的精準識别和連續追蹤。值得一提的是，該算法采用了基于邊緣雲的分布式架構部署，可實作多路口的感覺并計算處理，形成一套安全高效的基于5G網絡的智能交通融合感覺系統。
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.
是以,通過使用這套系統，可以衍生出諸多創新應用場景,如全域交通信号最優控制、交通事故監測與分析、安全場景的預警與資訊分發、違章車輛追蹤等，為解決城市道路擁堵與安全提供思路，賦能智慧城市。未來，智能交通多源融合感覺系統将演進為更加智能、高效、可靠的城市數字神經系統,助力建構安全、綠色、智慧的現代化交通生态。
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.