Art
J-GLOBAL ID:202302217703441253   Reference number:23A1996672

3DSG: A 3D LiDAR-Based Object Detection Method for Autonomous Mining Trucks Fusing Semantic and Geometric Features

3DSG:意味的および幾何学的特徴を融合する自律マイニングトラックのための3D LiDARベースオブジェクト検出法【JST・京大機械翻訳】
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Material:
Volume: 12  Issue: 23  Page: 12444  Publication year: 2022 
JST Material Number: U7135A  ISSN: 2076-3417  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Object detection is an essenti...
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Graphic and image processing in general  ,  Artificial intelligence 
Reference (39):
  • Ren, S.; He, K.; Girshick, R.; Sun, J. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 2017, 39, 1137-1149.
  • Zheng, W.; Xie, H.; Chen, Y.; Roh, J.; Shin, H. PIFNet: 3D Object Detection Using Joint Image and Point Cloud Features for Autonomous Driving. Appl. Sci. 2022, 12, 3686.
  • Sabou, S.; Oniga, S.; Lung, C. Magnetic sensors in inertial navigation system. In Proceedings of the 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME), Bucharest, Romania, 23-26 October 2014; IEEE: Piscataway, NJ, USA, 2014; pp. 211-214.
  • Wang, W.; Chang, X.; Yang, J.; Xu, G. LiDAR-Based Dense Pedestrian Detection and Tracking. Appl. Sci. 2022, 12, 1799.
  • Hoang, L.; Lee, S.H.; Lee, E.J.; Kwon, K.R. GSV-NET: A Multi-Modal Deep Learning Network for 3D Point Cloud Classification. Appl. Sci. 2022, 12, 483.
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