Main Functions
The Aircraft Visual Docking Guidance System uses LiDAR as the primary sensor. By processing the point cloud data provided by the radar, a 3D model is constructed using the PCL (Point Cloud Library) framework. Through algorithms such as preprocessing, target detection, feature extraction, and registration, the system identifies key features of the approaching aircraft and extracts corresponding parameters. These parameters are then compared against an aircraft type database to accurately identify the aircraft model. In addition, the system continuously detects aircraft speed, distance, azimuth, and other key data, enabling it to efficiently and precisely guide the aircraft to the designated stand position on the apron.
Functions of Aircraft Detection and Docking Equipment
Detection, tracking, and guidance of personnel
Detection, tracking, and guidance of aircraft
Detection of target movement speed
Detection of foreign objects and obstacles
Detection of wheel chocks in place
Monitoring of passenger boarding bridge operation status
Automatic switching of lead-In lights at the parking stand
Taxiing and stopping time statistics
Self-diagnostic function for equipment malfunctions
24/7 Video surveillance and recording of docking operations
Special condition handling, supporting low-visibility operation
mode and emergency stop function
Compliant with ICAO Annex 14 standards
Product Advantages
1. Fully Domestic Solution with 100% Independent R&D
2. Enhanced Product Functions and Performance
(1) Equipped with a 40-line laser radar, the system offers significantly improved detection range (distance, angle, etc.) compared to imported products. It supports multi-centerline and off-center installations, enhancing stand adaptability while reducing installation complexity.
(2) The detection accuracy and detail resolution are significantly improved compared to imported products. The system can detect foreign objects as small as 50 × 50 cm and includes capabilities for detecting passenger boarding bridge approach and retraction.
(3) Equipped with target reflectivity detection capability, it enables precise identification of small targets in large-scale scenarios based on reflectivity — for example, the detection of upper and lower chocks.
3. Multi-Source Data Fusion and Processing Capability
(1) Equipped with a 4K high-definition camera for video-based stand intrusion detection and key area monitoring.
(2) Utilizes a fusion technology combining video and LiDAR data to improve detection accuracy and reduce false alarm rates.
4. System Integration Capability
The system can interact with existing airport systems such as IIS, A-CDM, and A-SMGCS, enabling the exchange of data and providing additional milestone information for more aircraft stands.
5. Ease of Operation and Maintenance
(1) Independent debugging terminal with real-time 3D visualization of the monitored scene for user-friendly maintenance.
(2) Supports synchronized mirroring on external displays, allowing remote and real-time visualization of external screen data.
(3) Equipped with an independent monitoring terminal for real-time system failure detection and rapid alerting.
Technical Specifications
Aircraft detection range: ≥ 200 meters
Distance measurement accuracy: ±2 cm
Aircraft type identification range: ≥ 45 meters
Identification range can be configured separately for different aircraft types, up to 100 meters
Laser classification: Class 1 (eye-safe)
Operating temperature: -40°C to +65°C
Horizontal resolution: 0.2°
Vertical resolution: minimum 0.33°
Protection rating: IP54
System Functional Features (Customized Functions)
Diversified Guidance Intelligence
Implements 3D modeling and perception technology for foreign object debris (FOD) detection, ensuring safe aircraft docking operations. Innovates laser-based wheel chock detection, automatically extracting multi-dimensional data including chock positioning and jet bridge alignment.
Collection of Flight Support Nodes
A video collection module has been established, which uses intelligent AI algorithms to automatically process data from flight support nodes in order to achieve coordinated operation.
Collection of Three-Dimensional Data
Monitoring of Timely Operational Procedures
The system can monitor various events such as face recognition, license plate recognition, and vehicle model identification, ensuring the regulatory compliance and timeliness of operations.
Aircraft Door Integrity Inspection
Dining Car Detection
Intelligent Apron Lighting Control
By checking the stand node information and intelligently adjusting the apron lighting system, the airport becomes more eco-friendly and energy-efficient.
The system can also interact with apron signal lights to ensure the safe operation of the apron.
Comparison of Functions
