LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation-Reference-Cited by-同舟云学术

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Published:2024 Issue: Volume:26 Page:1158-1168
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhao Lin¹^ORCID,Zhou Hui²^ORCID,Zhu Xinge³^ORCID,Song Xiao²,Li Hongsheng³^ORCID,Tao Wenbing¹^ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. SenseTime Research, Beijing, China

3. Chinese University of Hong Kong, Hong Kong, SAR, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10128757.pdf?arnumber=10128757

Reference55 articles.

1. PointPillars: Fast Encoders for Object Detection From Point Clouds

2. PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

3. nuScenes: A Multimodal Dataset for Autonomous Driving

4. KPRNet: Improving projection-based LiDAR semantic segmentation;Kochanov,2020

5. Cylindrical and asymmetrical 3D convolution networks for LiDAR segmentation;Xinge,2021

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