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LSLiDAR LiDAR-Based Height Restriction Collision Avoidance System: Safeguarding Urban Traffic Safety with Technology

—The Urgent Need for Collision Prevention in Light of the Zhengzhou Double-Decker Bus Accident

On the morning of March 11, 2025, a Zhengzhou B12 double-decker bus mistakenly entered a side road with a height restriction of only 3 meters, resulting in a violent collision between the upper deck and the tunnel ceiling, shearing off the roof entirely. Fortunately, only one passenger sustained minor injuries. However, this incident exposed the critical shortcomings of traditional traffic management, which relies heavily on manual observation—driver distraction, unfamiliar routes, and delayed recognition of height restriction signs.

Such accidents are not isolated cases. Every year, numerous bridge and tunnel collisions occur worldwide due to vehicle height violations, highlighting the urgent need for technological innovation in collision prevention.

LSLiDAR LiDAR-Based Height Restriction Collision Avoidance System: Precise Sensing, Active Prevention, and Proactive Safety

To address such safety hazards, LSLiDAR has introduced a globally leading LiDAR-based Height Restriction Collision Avoidance System, integrating high-precision LiDAR sensors and AI algorithms to provide comprehensive safety solutions for urban traffic, logistics, and transportation sectors.

This intelligent system utilizes LiDAR’s active and high-precision detection capabilities to identify oversized vehicles approaching height-restricted areas in advance. It issues immediate audio-visual alerts, preventing collisions with height barriers, bridges, and tunnels. The system effectively redirects or stops oversized vehicles before accidents occur.

Key Advantages of LSLiDAR’s Height Restriction Collision Avoidance System

High-Precision LiDAR Technology

Utilizes high-speed scanning LiDAR with centimeter-level accuracy to rapidly scan vehicles, capturing dimensions (length, width, height) and generating a 3D environmental model.

Accurately calculates the distance and height difference between the vehicle and the restriction barrier.

Non-Stop Real-Time Detection

The system can detect oversized vehicles without requiring them to stop or slow down.

Multi-Level Warning Mechanism

The system supports audio and visual alerts. When an oversized vehicle is detected, the system immediately notifies the driver and can integrate with the vehicle’s control system to trigger deceleration or braking.

24/7 All-Weather Operation

Unaffected by lighting conditions, ensuring high detection accuracy even at night.

Adaptability to Complex Road Conditions

Suitable for various highways, tunnels, bridges, underpasses, and other complex road conditions.

Two Installation Solutions for Different Road Conditions

Solution 1: Pole Installation

Solution 2: Overhead Gantry Installation

Wide Application Scenarios: Enhancing Safety Across Multiple Sectors

The LSLiDAR LiDAR-Based Height Restriction Collision Avoidance System is not only applicable to urban roads and highways but also has broad applications in:

Smart Logistics: Protecting unmanned forklifts, AGVs, and industrial vehicles from height-related collisions, preventing cargo damage and equipment loss.

Rail Transit: Detecting foreign objects on subway screen doors and monitoring track intrusions, ensuring safe train operations.

Special Environments: Managing height restrictions in ports, construction sites, and other complex settings, reducing operational risks.

Leveraging LiDAR Technology to Ensure Safer Journeys

The Zhengzhou double-decker bus accident serves as a stark reminder of traffic safety risks. Committed to the vision of “zero collisions”, LSLiDAR continues to advance LiDAR technology and AI algorithms, making height restriction collision avoidance lighter, more cost-effective, and widely accessible—empowering the development of smart cities with cutting-edge safety solutions.

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Thank you very much for your approval of LSLiDAR, we will do our best to serve you ! We will respond to your intended needs within 24 hours, thank you for your support.

*Please fill in the correct email address to avoid failure to receive messages/files.