Rail Transit Train Visual Positioning Solution

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.

Reliable Adaptation to All Environments

Rigorously tested in extreme high and low-temperature environments, it operates reliably within a wide temperature range of -40°C to 85°C, ensuring accurate data acquisition under diverse working conditions for trains.

Sturdy and Durable Structure

Built with automotive-grade materials and precision engineering, it offers excellent resistance to vibration and impact, ensuring stable performance under various dynamic conditions during train operation.

High-Precision Real-Time Synchronization

Achieves high-precision time synchronization of sensor data, with timestamp synchronization errors between camera and LiDAR data maintained at less than 1 ms, radar timing accuracy under 20 μs, and multi-camera exposure synchronization errors below 10 μs.

Multi-Sensor Data Acquisition

Supports the integration of data from various sensors, such as cameras, LiDAR, millimeter-wave radar, ultrasonic sensors, GPS, and IMU, enabling comprehensive environmental perception and precise vehicle positioning.