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. 2307.00599
  4. Cited By
RH-Map: Online Map Construction Framework of Dynamic Objects Removal
  Based on Region-wise Hash Map Structure

RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure

2 July 2023
Zihong Yan
Xiaoyi Wu
Zhu Jian
Xueqian Wang
Bin Liang
ArXivPDFHTML

Papers citing "RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure"

7 / 7 papers shown
Title
FreeDOM: Online Dynamic Object Removal Framework for Static Map Construction Based on Conservative Free Space Estimation
FreeDOM: Online Dynamic Object Removal Framework for Static Map Construction Based on Conservative Free Space Estimation
Chen Li
Wanlei Li
Wenhao Liu
Yixiang Shu
Y. Lou
21
0
0
15 Apr 2025
HIF: Height Interval Filtering for Efficient Dynamic Points Removal
Shufang Zhang
Tao Jiang
Jiazheng Wu
Ziyu Meng
Ziyang Zhang
Shan An
3DPC
56
0
0
10 Mar 2025
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points
  Removal in Global Maps
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps
Mingkai Jia
Qingwen Zhang
Bowen Yang
Jin Wu
Mingming Liu
Patric Jensfelt
42
6
0
12 May 2024
Path Generation for Wheeled Robots Autonomous Navigation on Vegetated
  Terrain
Path Generation for Wheeled Robots Autonomous Navigation on Vegetated Terrain
Zhu Jian
Ze-Hui Liu
Haoyu Shao
Xueqian Wang
Xinlei Chen
Bin Liang
30
17
0
15 Jun 2023
Patchwork++: Fast and Robust Ground Segmentation Solving Partial
  Under-Segmentation Using 3D Point Cloud
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud
Seungjae Lee
Hyungtae Lim
Hyun Myung
3DV
53
106
0
25 Jul 2022
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving
  Object Segmentation
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
Jiadai Sun
Yuchao Dai
Xianjing Zhang
Jintao Xu
Rui Ai
Weihao Gu
Xieyuanli Chen
3DPC
98
69
0
05 Jul 2022
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with
  Ground Likelihood Estimation Using a 3D LiDAR Sensor
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
Hyungtae Lim
Mi-Suk Oh
Hyun Myung
43
112
0
12 Aug 2021
1