SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8388-9_5
Reference14 articles.
1. SimMining-3D. https://github.com/MehalaBala/SimMining_3D
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4. Smith, A., et al.: A deep learning framework for semantic segmentation of underwater environments. In: OCEANS 2022, Hampton Roads, pp. 1–7 (2022)
5. Saputra, R.P., Rakicevic, N., Kormushev, P.: Sim-to-real learning for casualty detection from ground projected point cloud data. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, pp. 3918–3925 (2019). https://doi.org/10.1109/IROS40897.2019.8967642
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