ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.16279
  4. Cited By
SegNet4D: Effective and Efficient 4D LiDAR Semantic Segmentation in
  Autonomous Driving Environments

SegNet4D: Effective and Efficient 4D LiDAR Semantic Segmentation in Autonomous Driving Environments

24 June 2024
Neng Wang
Ruibin Guo
Chenghao Shi
Hui Zhang
Huimin Lu
Zhiqiang Zheng
Xieyuanli Chen
    3DPC
ArXiv (abs)PDFHTMLGithub (50★)

Papers citing "SegNet4D: Effective and Efficient 4D LiDAR Semantic Segmentation in Autonomous Driving Environments"

1 / 1 papers shown
Title
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data
Wenbang Deng
Xieyuanli Chen
Qinghua Yu
Yunze He
Junhao Xiao
Huimin Lu
86
0
0
14 Mar 2025
1