Residential College | false |
Status | 已發表Published |
A Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds | |
Jiacheng, Lu1,2,3; Chengzhong, Xu4; Shuo, Gu1,2,3; Hui, Kong4 | |
2022-12 | |
Conference Name | Asian Conference on Computer Vision (ACCV) |
Conference Date | Dec 2022 |
Conference Place | Macau |
Country | Macau |
URL | View the original |
Funding Project | Research on Key Technologies and Platforms for Collaborative Intelligence Driven Auto-driving Cars ; Efficient Integration and Dynamic Cognitive Technology and Platform for Urban Public Services |
Language | 英語English |
Document Type | Conference paper |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Hui, Kong |
Affiliation | 1.PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education 2.Jiangsu Key Lab of Image and Video Understanding for Social Security 3.Nanjing University of Science and Technology, Nanjing, China 4.University of Macau, Macau, China |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Jiacheng, Lu,Chengzhong, Xu,Shuo, Gu,et al. A Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds[C], 2022. |
APA | Jiacheng, Lu., Chengzhong, Xu., Shuo, Gu., & Hui, Kong (2022). A Cylindrical Convolution Network for Dense Top-View Semantic Segmentation with LiDAR Point Clouds. . |
Files in This Item: | Download All | |||||
File Name/Size | Publications | Version | Access | License | ||
ACCV22-BEV-seg.pdf(5307KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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