Projects per year
Abstract
Miniaturization of cameras and LiDAR sensors has enabled the development of wearable 3D mapping systems for emergency responders. These systems have the potential to revolutionize response capabilities by providing real-time, high-fidelity maps of dynamic and hazardous environments. We present our recent efforts towards the development of such ultra-portable 3D mapping systems. We review four different sensor configurations, either helmet-mounted or body-worn, with two different mapping algorithms that were implemented and evaluated during field trials. The paper discusses the experimental results with the aim to stimulate further discussion within the portable 3D mapping research community.
Original language | English |
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Title of host publication | IEEE ICRA Workshop on Field Robotics |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- SLAM
- 3D point cloud
- 3D reconstruction
- LiDAR
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DAP/22-01: Beyond Visual Augmented Reality (BeyVAR)
Becquaert, M. (Promotor), Haelterman, R. (Promotor) & Hamesse, C. (Researcher)
1/04/22 → 31/03/26
Project: Research
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DAP/18-04: Development and integration of a military augmented reality system for Belgian Defence operations
Haelterman, R. (Promotor), De cubber, G. (Researcher), Fréville, T. (Researcher) & Hamesse, C. (Researcher)
1/10/18 → 31/10/23
Project: Research
Research output
- 1 Article
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Depth-Visual-Inertial (DVI) Mapping System for Robust Indoor 3D Reconstruction
Hamesse, C., Vlaminck, M., Luong, H. & Haelterman, R., 2024, In: IEEE Robotics and Automation Letters. 9, 12, p. 11313-11320 8 p.Research output: Contribution to journal › Article › peer-review
Activities
- 1 Research activity at another institution
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Turku University of Applied Sciences
Hamesse, C. (Visiting researcher)
29 Jan 2024 → 16 Feb 2024Activity: Visiting an external institution › Research activity at another institution