Research Status and Prospect of the Key Technologies for Environment Perception of Intelligent Excavators
With the urgent need of the industry and the continuous development of artificial intelligence, research into intelligent excavators has achieved certain progress. However, intelligent excavators often face strong vibrations, dense dust, and complex objectives. These have brought severe challenges to environmental perception, and are important research difficulties that must be overcome in realizing the practical engineering applications of intelligent excavators. Many researchers have studied these problems in reducing vibration and dust noise for light detection and ranging (LiDAR) scanners, multi-sensor information fusion, and the segmentation and recognition of 3D scenes. This paper reviews the research status of these key technologies and discusses their development trends.
Authors
- Yi An (ORCID: https://orcid.org/0000-0002-2667-122X)
- Yuchuan Du (ORCID: https://orcid.org/0000-0002-8497-3402)
- Yunhao Cui (ORCID: https://orcid.org/0000-0002-9855-5359)
- Jianhai Han
Institutions
- Henan University of Science and Technology (CN)
- Dalian University of Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2024-11-25
- DOI
- https://doi.org/10.3390/app142310919
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China