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. 2305.14038
  4. Cited By
Why semantics matters: A deep study on semantic particle-filtering
  localization in a LiDAR semantic pole-map

Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map

23 May 2023
Yuming Huang
Yinjuan Gu
Chengzhong Xu
Hui Kong
    3DPC
ArXivPDFHTML

Papers citing "Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map"

3 / 3 papers shown
Title
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps
Haiming Gao
Qibo Qiu
Hongyan Liu
Dingkun Liang
Chaoqun Wang
Xuebo Zhang
125
0
0
23 Sep 2024
Long-Term Localization using Semantic Cues in Floor Plan Maps
Long-Term Localization using Semantic Cues in Floor Plan Maps
Nicky Zimmerman
Tiziano Guadagnino
Xieyuanli Chen
Jens Behley
C. Stachniss
28
23
0
04 Oct 2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov
Jonas Schult
Or Litany
Bastian Leibe
Francis Engelmann
3DPC
151
154
0
05 Oct 2021
1