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Multiview angle UAV infrared image simulation with segmented model and object detection for traffic surveillance.

Tuerniyazi Aibibu1,2, Jinhui Lan3,4, Yiliang Zeng1,5

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Summary

Researchers developed an improved method for simulating infrared aerial images using AirSim, enhancing 3D models for better quality. This simulation is crucial for training object detection models like EfficientNCSP-Net on infrared traffic scenes.

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Area of Science:

  • Computer Vision
  • Remote Sensing
  • Artificial Intelligence

Background:

  • Infrared (IR) imaging Unmanned Aerial Vehicle (UAV) technology is advancing rapidly, with applications in various fields.
  • Obtaining real-world aerial images can be challenging due to flight limitations and costs, necessitating computer simulation.
  • Existing simulation methods may lack the fidelity required for robust model training.

Purpose of the Study:

  • To propose an improved method for simulating UAV infrared aerial images.
  • To enhance the simulation quality of infrared images through 3D segmented model processing.
  • To construct a comprehensive infrared traffic scene simulation dataset (IR-TSS) for object detection research.

Main Methods:

  • An improved infrared aerial image simulation method based on open-source AirSim was developed.
  • The simulation quality was enhanced using 3D segmented model processing.
  • The Infrared Traffic Scene Simulation (IR-TSS) dataset was constructed, featuring seven object types.
  • An efficient EfficientNCSP-Net was proposed and trained on the IR-TSS dataset.

Main Results:

  • The improved simulation method generated high-quality infrared aerial images of traffic scenes from various viewpoints.
  • The proposed EfficientNCSP-Net achieved a mean Average Precision (mAP50) of over 96% for object detection on the IR-TSS dataset.
  • Comparative experiments demonstrated superior performance of EfficientNCSP-Net compared to existing methods.

Conclusions:

  • The study presents a significant advancement in infrared aerial image simulation for traffic scenes.
  • The developed IR-TSS dataset and EfficientNCSP-Net offer valuable resources for the research community.
  • The findings have implications for improving object detection in aerial imagery and other simulation applications.