Multi-sensor Fusion Obstacle Detection System | On-board Obstacle Detection System-DITT (Hangzhou) Technology Co., Ltd.

Multi-sensor Fusion Obstacle Detection System

Multi-sensor fusion for railway corridor obstacle detection and safety alerts.

The integrated obstacle detection system deeply combines sensor data from visible light, infrared, millimeter-wave radar, and LiDAR to enable intrusion obstacle detection and safety early-warning capabilities in rail transit areas. The system is suitable for harsh operating conditions in tunnels and elevated open-air environments; it supports a variety of vehicle types—including metro, intercity rail, tram, and locomotive vehicles—and can also be extended to monitor the status of peripheral equipment and facilities along the main lines.

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Solution

To mitigate the risk of foreign objects intruding into the track area during train operations, this solution integrates data from multiple sensor types to detect pedestrians, vehicles, trains, animals, as well as specialized objects such as iron shoes and tools, thereby generating safety alerts. The solution is applicable to various scenarios—including tunnels and elevated open-air environments—supports multiple vehicle types, and enables operators to promptly identify obstacles along the tracks.

Overall Technical Parameters

Technical Specifications	technical parameters
Safety Integrity Level	SIL2
Sensor Type	Visible light, infrared, millimeter-wave radar, LiDAR
Dynamic Targets	Pedestrians, vehicles, trains, animals, etc.
Static Targets	Wheel chocks, tools, etc.
Detection Capability	Speed 80 km/h; distance ≥280 m; target size ≥30 cm × 30 cm
False Alarm Rate	<0.01%
Applicable Systems	Metro, intercity, tram, locomotive, etc.
Application Track Record	500+ systems/products in safe onboard operation

Working Principle

Track area information is collected via visible light, infrared, millimeter-wave radar and LiDAR. Multi-source data is fused and processed to detect dynamic and static obstacles, generate safety early warnings, and support extended detection of the status of equipment and facilities around the main line. Workflow Schematic Multi-sensor Acquisition → Data Fusion → Obstacle Detection → Safety Early Warning

Why Choose Us

Multi-sensor fusion

By integrating visible light, infrared, millimeter-wave radar, and LiDAR data, the system identifies both dynamic and static obstacles in the track area.

long-distance detection

Under operating conditions of 80 km/h, for targets measuring ≥30 cm × 30 cm, with a detection range of ≥280 m, the false alarm rate is <0.01%.

Multi-scenario adaptability

Suitable for harsh operating conditions in tunnels and elevated open-air environments; supports a variety of vehicle types, including metro, intercity rail, tram, and locomotive vehicles.

Security and Application Fundamentals

Safety level SIL2, with over 500 successful safety operation records across systems and products, and support for extended status monitoring of peripheral devices and facilities.

About Us

Founded in 2018, DITT applies AI visual intelligence to rail transit. Built on our own visual perception algorithms, intelligent hardware and O&M systems, we deliver a full inspection portfolio spanning onboard and wayside applications, now serving 20+ rail transit systems across China.

Together with our subsidiaries — Zhonggang Maintenance, Zhongshu Laser and Yunshang Urban Rail — we are moving rail transit O&M toward predictive maintenance and full-lifecycle management.

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Company Establishment

Invention Patents

Metro Clients Served

0%+

R&D Proportion of Revenue

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Frequently Asked Questions

It can detect which obstacles are present.

It can detect dynamic targets such as pedestrians, vehicles, trains, and animals, as well as static targets such as iron shoes and tools.

Which vehicles are compatible?

Supports a variety of vehicle types, including metro, intercity rail, tram, and locomotive vehicles.

Can it be applied to tunnels and elevated railway lines?

Yes, the system provides obstacle detection and safety alerts for tunnels and elevated open-air environments under harsh operating conditions.

What are the detection distance and target size?

At a speed of 80 km/h, with a detection distance of ≥280 m and target dimensions of ≥30 cm × 30 cm, the false positive rate is <0.01%.

Which sensors does the system employ?

Integrate sensor data from visible light, infrared, millimeter-wave radar, and lidar.

Can the status of facilities around the circuit be detected?

Support extended monitoring of the status of peripheral equipment and facilities along the main detection line.