Accurate 3-D Semantic Segmentation of Point Clouds for Intelligent Vehicles Based on Multiview Edge Guidance and Fusion-Reference-Cited by-同舟云学术

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Accurate 3-D Semantic Segmentation of Point Clouds for Intelligent Vehicles Based on Multiview Edge Guidance and Fusion

Published:2024-08-15 Issue:16 Volume:24 Page:26853-26865
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Liu Yan¹^ORCID,Xu Lei¹^ORCID,Hu Weiming¹^ORCID,Chen Xiong¹,Yi Bo²^ORCID,Mao Qiu¹^ORCID,Kong Dong³^ORCID,Ruan Shengping⁴

Affiliation:

1. China Automotive Engineering Research Institute Company Ltd., Chongqing, China

2. Chinese Academy of Agricultural Mechanization Science Group Company Ltd., Beijing, China

3. College of Transportation, Shandong University of Science and Technology, Qingdao, China

4. School of Electronics, Jilin University, Changchun, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10576068.pdf?arnumber=10576068

Reference41 articles.

1. Explanations in Autonomous Driving: A Survey

2. Explicit Points-of-Interest Driven Siamese Transformer for 3D LiDAR Place Recognition in Outdoor Challenging Environments

3. Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

4. Segmented trajectory planning strategy for active collision avoidance system

5. A review of occluded objects detection in real complex scenarios for autonomous driving

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