"Aircraft Recognition System" to Accelerate Autonomous Vehicle Driving in Airport Restricted Areas
APC Inc. is developing an "Aircraft Recognition System" to enhance autonomous vehicle operations and safety in airport restricted areas. This year, they have focused on improving simulation and customization features and introduced new tools for runway information, monitoring range, camera placement, weather simulation, and real-time data integration to facilitate commercialization. The company aims to contribute to the digital transformation of airport operations through advanced integration with autonomous driving systems.
📋 Article Processing Timeline
- 📰 Published: April 7, 2026 at 19:00
- 🔍 Collected: April 7, 2026 at 10:30
- 🤖 AI Analyzed: April 18, 2026 at 08:36 (262h 5m after Collected)
## "Aircraft Recognition System" to Accelerate Autonomous Vehicle Driving in Airport Restricted Areas
APC Inc. (Headquarters: Oita City, Representative Director: Eisuke Sato, hereinafter APC), which provides AI/IoT solutions, mainly for the manufacturing industry, is developing an "Aircraft Recognition System." This fiscal year, we have enhanced various simulation functions for early commercialization and customization functions to facilitate customization for other airports.
## Background and Objectives
Since 2021, APC has been developing and conducting demonstration experiments for a system that aims to streamline and automate ground support operations within airport restricted areas. This system detects the position and speed of aircraft in real-time and determines vehicle passage feasibility on blast lanes and service lanes. This fiscal year, we have focused on improving operational accuracy with a view to commercialization and developing peripheral tools to support stable operation in diverse environments.
## Foundation for Commercialization
### 1. Runway/Taxiway Information Editing Tool:
Traces taxiways from airport maps in PDF format to quickly prepare aircraft route information. It also supports the incorporation of maximum speed information using CARATS (Collaborative Air Traffic Management System data).
Subdivides taxiways and databases estimated maximum aircraft speeds by direction.
### 2. Monitoring Target Range Formulation Tool:
Specifies the passage time for autonomous vehicles on blast lanes and service lanes, and automatically detects taxiways that should be monitored at the airport.
Calculates the monitoring target range from specified parameters.
### 3. Camera Installation Position Formulation Tool:
Visualizes the coverage area from camera installation positions to support optimal placement. It also allows for on-site confirmation of blind spots based on camera placement, facilitating deployment and preparation for each airport.
Specifies camera positions and simulates the presence of blind spots.
Monitoring target range from camera positions.
### 4. Adverse Weather AI Simulation Tool:
Simulates adverse weather conditions such as rain, snow, and fog using generative AI, allowing for pre-analysis of the impact on recognition accuracy under conditions of reduced visibility.
Reproduces the condition of a taxiway at night with strong reflections after rain.
Reproduces the condition of a taxiway at night with reduced visibility due to rainfall (10mm/h).
Reproduces the condition of a taxiway at night with severely reduced visibility due to heavy rainfall (50mm/h).
### 5. Real-time Weather Data Reference Tool:
References real-time weather data for each airport and integrates with the aircraft recognition system.
### 6. Airport Restricted Area Real-time 3D Modeling Tool:
Creates real-time 3D models of airport restricted areas based on camera footage.
## Future Prospects and Commitment
With its rich set of tools, this system can be practically implemented based on demonstration experiment results at Haneda Airport, and can also be introduced to other airports domestically and internationally.
Moving forward, under the concept of "Quantifying Craftsmanship ~Master's AI~," APC will continue to dedicate its efforts to building a system that optimally controls vehicle movement within airport restricted areas without hindering the safe operation of aircraft. Furthermore, with a view to advanced integration with autonomous driving systems, we will contribute to the digital transformation (DX) of airport operations.
## About APC Inc.
Specializing in image recognition and spatial information processing using LiDAR, 360-degree optical cameras, and AI technology, we develop automated driving and operation support systems for heavy machinery and large industrial equipment. Utilizing our proprietary IoT framework "Chimera," we provide solutions that quantify on-site implicit knowledge.
## Contact Information for this Matter
Company Name: APC Inc.
TEL: 097-573-6616
Email: chimera@oita-apc.co.jp
Company Website: https://www.oita-apc.co.jp
"Chimera": https://www.oita-apc.co.jp/service/consulting/iot/chimera/
APC Inc. (Headquarters: Oita City, Representative Director: Eisuke Sato, hereinafter APC), which provides AI/IoT solutions, mainly for the manufacturing industry, is developing an "Aircraft Recognition System." This fiscal year, we have enhanced various simulation functions for early commercialization and customization functions to facilitate customization for other airports.
## Background and Objectives
Since 2021, APC has been developing and conducting demonstration experiments for a system that aims to streamline and automate ground support operations within airport restricted areas. This system detects the position and speed of aircraft in real-time and determines vehicle passage feasibility on blast lanes and service lanes. This fiscal year, we have focused on improving operational accuracy with a view to commercialization and developing peripheral tools to support stable operation in diverse environments.
## Foundation for Commercialization
### 1. Runway/Taxiway Information Editing Tool:
Traces taxiways from airport maps in PDF format to quickly prepare aircraft route information. It also supports the incorporation of maximum speed information using CARATS (Collaborative Air Traffic Management System data).
Subdivides taxiways and databases estimated maximum aircraft speeds by direction.
### 2. Monitoring Target Range Formulation Tool:
Specifies the passage time for autonomous vehicles on blast lanes and service lanes, and automatically detects taxiways that should be monitored at the airport.
Calculates the monitoring target range from specified parameters.
### 3. Camera Installation Position Formulation Tool:
Visualizes the coverage area from camera installation positions to support optimal placement. It also allows for on-site confirmation of blind spots based on camera placement, facilitating deployment and preparation for each airport.
Specifies camera positions and simulates the presence of blind spots.
Monitoring target range from camera positions.
### 4. Adverse Weather AI Simulation Tool:
Simulates adverse weather conditions such as rain, snow, and fog using generative AI, allowing for pre-analysis of the impact on recognition accuracy under conditions of reduced visibility.
Reproduces the condition of a taxiway at night with strong reflections after rain.
Reproduces the condition of a taxiway at night with reduced visibility due to rainfall (10mm/h).
Reproduces the condition of a taxiway at night with severely reduced visibility due to heavy rainfall (50mm/h).
### 5. Real-time Weather Data Reference Tool:
References real-time weather data for each airport and integrates with the aircraft recognition system.
### 6. Airport Restricted Area Real-time 3D Modeling Tool:
Creates real-time 3D models of airport restricted areas based on camera footage.
## Future Prospects and Commitment
With its rich set of tools, this system can be practically implemented based on demonstration experiment results at Haneda Airport, and can also be introduced to other airports domestically and internationally.
Moving forward, under the concept of "Quantifying Craftsmanship ~Master's AI~," APC will continue to dedicate its efforts to building a system that optimally controls vehicle movement within airport restricted areas without hindering the safe operation of aircraft. Furthermore, with a view to advanced integration with autonomous driving systems, we will contribute to the digital transformation (DX) of airport operations.
## About APC Inc.
Specializing in image recognition and spatial information processing using LiDAR, 360-degree optical cameras, and AI technology, we develop automated driving and operation support systems for heavy machinery and large industrial equipment. Utilizing our proprietary IoT framework "Chimera," we provide solutions that quantify on-site implicit knowledge.
## Contact Information for this Matter
Company Name: APC Inc.
TEL: 097-573-6616
Email: chimera@oita-apc.co.jp
Company Website: https://www.oita-apc.co.jp
"Chimera": https://www.oita-apc.co.jp/service/consulting/iot/chimera/