Forward Active Collision Avoidance and Foreign Object Detection for Rail Transit Vehicles

Scenario Requirements and Pain Points:
The operating environment of rail transit systems—such as mine locomotives, subway engineering vehicles, or trams—is complex and characterized by long braking distances. In the dimly lit conditions of tunnels or under adverse outdoor weather, drivers find it difficult to spot with the naked eye rocks falling onto the tracks, intruders, or stalled vehicles in a timely manner. Traditional video surveillance is heavily affected by lighting conditions, while millimeter-wave radar struggles to precisely outline the contours of obstacles, making serious collisions and derailments highly likely and resulting in substantial loss of life and property.

Application Logic:
An F13-C/F13-M obstacle-detection LiDAR is installed at the front of the locomotive. Operating at an ultra-high frequency of 100 Hz, the LiDAR performs horizontal or tilted scans in the direction of train travel. Using advanced algorithms, the system实时 filters out interference caused by rain and snow, precisely identifying any abnormal protrusions within the track area. Once an obstacle is detected at a distance shorter than the safety threshold, the system immediately issues both audible and visual alarms to the driver’s cab and can also activate the train control system to initiate emergency braking.

Technological Advantages:
The F13-C/F13-M obstacle-detection LiDAR boasts an ultra-long detection range of 120 meters, providing trains with valuable extra time to initiate braking in advance. Its high-speed scanning capability of 100 Hz ensures that even when the train is running at high speed, it can capture high-density point cloud data without missing any tiny obstacles. Combined with intelligent multi-echo technology, the F13-C/F13-M can effectively penetrate tunnel dust as well as outdoor rain and fog, enabling all-weather, zero-false-alarm “track-clearance” monitoring.

Keywords:

Category:

Safety in Production and Efficiency

Track/Railway

Image and Text Details

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