With the advancement of intelligent rail transit, traditional train positioning technologies are increasingly inadequate to meet the demands of modern rail transit systems. Intelligent train visual positioning technology based on deep learning has emerged as a key solution to enhance the operational efficiency and service quality of rail transit.
To address the needs of rail transit scenarios, ALG-TECH has launched an algorithm validation platform that integrates LiDAR, visual cameras, and inertial navigation modules. This platform is designed to record and synchronize vision-fusion data, ensuring real-time performance and synchronization, thereby supporting the development of autonomous positioning systems for rail transit trains.









