Viewrun Technology (CEO Jae-kwang Kim), an AI-based cognitive solutions company, announced on the 13th that it has completed field testing of its smart infrastructure solution, VueTwo, in the Guryong underpass section of Gangnam-gu, Seoul, in collaboration with the Seoul Facilities Corporation. This application was pursued to collect traffic volume and speed data and detect unexpected situations in real time, such as stopped vehicles, pedestrians intruding, and reverse driving.
The project targets a four-lane section of the Kowloon Underpass. LiDAR technology was utilized to complement the limitations of existing image-based traffic management systems. LiDAR sensors can reliably detect vehicles and pedestrians even in inclement weather or low-light conditions, contributing to the acquisition of precise traffic data.
VueTwo tracks vehicle objects using lidar sensors and collects real-time traffic volume and speed data. It also provides automatic alarms in the event of anomalies. The Seoul Facilities Corporation evaluated its higher accuracy in communication information compared to existing video detectors as a key differentiating factor.
Viewrun conducted a Verification & Validation (V&V) test to verify its performance on-site. The combined traffic volume counting accuracy for four lanes was confirmed to be 97.13%, with individual lane accuracy ranging from 95 to 98%. This numerical demonstration demonstrates that LiDAR-based object tracking technology can provide reliable traffic data even in tunnels and underpasses.
Kim Gwang-myeong, deputy director of the Traffic Information Department of the Seoul Facilities Corporation, said, “Tunnels and underpasses have a high possibility of leading to major accidents in the event of an emergency,” and added, “We have confirmed the possibility of Viewrun’s lidar solution complementing the limitations of existing systems, and we also positively evaluate its technical support response capability.”
This project, which was implemented as a performance-sharing project aimed at developing a lidar traffic information collection system, recently received the "Final Certificate of Performance for Performance-Sharing," officially recognizing its achievements. Building on this achievement, Viewron plans to register its VueTwo product for procurement and expand its use to road and tunnel infrastructure across local governments and public institutions nationwide.
Kim Jae-kwang, CEO of Viewrun Technology, said, “We have quantitatively proven the utility of lidar technology in public infrastructure sites,” and added, “We will continue to pursue advancements in smart infrastructure solutions that simultaneously meet the safety, operational efficiency, and data accuracy required by public institutions.”
Recently, the application of lidar-based smart traffic management and AI cognitive technologies has increased in the domestic public transportation infrastructure sector, and efforts to prevent accidents and improve data-driven operational efficiency are spreading.
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