Source: China Unicom Technology Innovation 2024-04-19 08:30
Intelligent systems are everywhere in modern life. For example, autonomous driving and road intelligent perception recognition are to collect various information about the vehicle and the surrounding environment of the road with the help of various sensor devices, and provide road condition information and perception services after analysis and processing.
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.
While traditional single sensors have limitations in identifying complex traffic scenarios, multi-sensor fusion can integrate multiple heterogeneous data sources to provide more accurate and comprehensive perception capabilities. To put it simply, multi-sensor fusion is to automatically synthesize the information and data from multiple sensors according to certain criteria, and finally produce a consistent interpretation of the observation environment, so as to complete decision-making and estimation.
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.
The multi-source fusion perception system integrates a variety of sensor devices such as cameras, millimeter-wave radars, and lidars, which is like giving the traffic system "eyes", and can capture the position, speed, direction and other dynamic information of vehicles, pedestrians, obstacles and other targets on the road in an all-round way. By fusing data from different sensors and using advanced perception algorithms, accurate identification and continuous tracking of traffic participants can be realized. It is worth mentioning that the algorithm adopts a distributed architecture deployment based on edge cloud, which can realize the perception and calculation processing of multiple intersections, forming a safe and efficient intelligent traffic fusion perception system based on 5G network.
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.
Therefore, by using this system, many innovative application scenarios can be derived, such as optimal control of global traffic signals, traffic accident monitoring and analysis, early warning and information distribution of safety scenarios, and tracking of illegal vehicles, etc., to provide ideas for solving urban road congestion and safety, and empower smart cities. In the future, the multi-source fusion perception system of intelligent transportation will evolve into a more intelligent, efficient, and reliable urban digital nervous system, helping to build a safe, green, and intelligent modern transportation ecosystem.
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.