Invention Grant
- Patent Title: Grid map obstacle detection method fusing probability and height information
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Application No.: US17280745Application Date: 2020-03-05
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Publication No.: US11302105B2Publication Date: 2022-04-12
- Inventor: Wei Zhong , Shenglun Chen , Haojie Li , Zhihui Wang , Risheng Liu , Xin Fan , Zhongxuan Luo
- Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Liaoning
- Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
- Current Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Liaoning
- Agency: Muncy, Geissler, Olds & Lowe, P.C.
- Priority: CN201911145461.7 20191121
- International Application: PCT/CN2020/077975 WO 20200305
- International Announcement: WO2021/098082 WO 20210527
- Main IPC: G06V20/58
- IPC: G06V20/58 ; G06T7/77 ; G06K9/62

Abstract:
The present invention discloses a grid map obstacle detection method fusing probability and height information, and belongs to the field of image processing and computer vision. A high-performance computing platform is constructed by using a GPU, and a high-performance solving algorithm is constructed to obtain obstacle information in a map. The system is easy to construct, the program is simple, and is easy to implement. The positions of obstacles are acquired in a multi-layer grid map by fusing probability and height information, so the robustness is high and the precision is high.
Public/Granted literature
- US20210312197A1 GRID MAP OBSTACLE DETECTION METHOD FUSING PROBABILITY AND HEIGHT INFORMATION Public/Granted day:2021-10-07
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