HIGHLIGHTS
- who: Scoring RCNN and colleagues from the School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu, China have published the Article: 3D Semantic VSLAM of Indoor Environment Based on Mask Scoring RCNN, in the Journal: Discrete Dynamics in Nature and Society of 20/Oct/2020
- what: This paper firstly uses a BRISK algorithm to extract feature points, then a Mask Scoring RCNN algorithm is used to detect targets and obtain semantic information of key targets in the environment, and the relative position relationship between target detection results is established.
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