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[NEWS] Pothole Detection Based on Visible & Thermal Imaging Fusion - Technical Report (2024.9)
  • DATE  2025. 08. 06
  • VIEWS  147

 Researchers at Colorado State University and others have developed a tool that automatically detects, classifies, and visualizes potholes as a map by synthesizing visible light images and thermal images using a thermal imaging camera mounted on a car.

- When using the RTFNet algorithm, an F1 score of 93.7% was achieved during the day and 90.9% at night.
- Automatic recognition of dark environments (Bright-Dark detector), GPS mapping GUI tool included


Why a thermal imaging camera?



- Temperature difference-based detection: Temperature differences caused by water accumulated inside a pothole, changes in air pressure, etc. can be easily identified through thermal imaging.
- Excellent night and bad weather performance: TBT thermal imaging cameras guarantee high contrast image quality even in fog, rain, snow, and at night.
- Thermal Predictive Management: TBT's Thermal Management System (TMS) enables hot spot detection and historical analysis, enabling long-term monitoring of road condition changes.
High-performance thermal imaging cameras provided by TBT Inc. could become a new alternative for pothole detection and prevention monitoring systems.


Which TBT product is right for you?

TPV‑IAHW / TPV‑IAHDR series 
– Uncooled high-sensitivity camera (NETD <55 mK), equipped with a Full HD zoom camera 
– Optimized for temperature anomaly detection, suitable for early detection of thermal cracks or subsidence on road surfaces

TBX‑15N or TBX‑10 series
– 640×480 Simultaneous support for 4K color and thermal imaging, 2-3 axis gimbal + gyro stabilization 
– can be installed on a vehicle to detect pothole areas in real time.

TMS Management System 
– Includes pre-designation of hazardous areas (HOT SPOT), real-time temperature monitoring, and notification functions in case of abnormalities.
TBT's differentiated thermal imaging technology (high sensitivity, high resolution, stabilized imagery, and temperature-based history recording) offers significant advantages over conventional visible-light-based pothole detection methods in terms of: nighttime responsiveness, climate adaptability, and prevention accuracy. 
In particular, TBT solutions are expected to play a key role in the automation and advancement of road maintenance systems and smart city transportation infrastructure.

 

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