2D vs 3D Mapping for Moving Objects — Comparison of 2D and 3D mapping approaches for environment movement detection. — https://www.pirahansiah.com/notes/pubs/papers/2d-3d-mapping/

tags: [3d-mapping, object-detection, computer-vision, robotics] hashtags: “#3dmapping #objectdetection #cv #robotics”

My_Conference_Paper_2D_versus_3D_Map_for_Environment_Movement_Objects

https://www.pirahansiah.com/notes/pubs/papers/conference-paper_2D_versus_3D_Map_for_Environment_Movement_Objects

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Paper: 2D versus 3D Map for Environment Movement Objects

1. Introduction

• Main Focus: The use of 2D vs. 3D mapping in tracking environmental movement objects.
• Key Applications:
  • Autonomous systems
  • Robotics
• Challenges:
  • Object rotation issues in 2D mapping
  • Scaling problems in 2D environments

2. Materials and Methods

• 3D Mapping Algorithms:
  • Introduces algorithms that manage:
    • Scale
    • Position
    • Orientation
• Data Capture:
  • Details the camera and sensor systems used to capture movement data.

3. Experiments and Discussions

• System Performance Comparison:
  • Evaluates 2D vs. 3D mapping systems based on:
    • Accuracy
    • Adaptability to different conditions
  • Results indicate significant improvement in accuracy with the 3D system.
• Test Conditions:
  • Different test scenarios were designed to assess:
    • Real-world movement
    • Environmental challenges

4. Conclusion

• Key Findings:
  • 3D mapping shows superior performance in real-world tracking compared to 2D.
  • Better handling of environmental challenges such as rotation and scaling.

5. Table of Comparison

• Comparison Parameters:
  • Accuracy rates
  • Time efficiency
• Methods Evaluated:
  • 2D Mapping
  • 3D Mapping
  • Hybrid approaches