AutoMerge: A Framework for Map Assembling and Smoothing in City-scale
Environments

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

14 July 2022

Ji Zhang

Papers citing "AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments"

6 / 6 papers shown

Title
Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey Chuqi Wang Chao-Hua Yu Xin Xu Yuman Gao Xinyi Yang ... ZhuoZhu Jian X. Chen Fei Gao Boyu Zhou Yu Wang 52 0 0 10 Mar 2025
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition Nikolaos Stathoulopoulos Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 76 1 0 20 Feb 2025
SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments Zehuan Yu Zhijian Qiao Wenyi Liu Huan Yin Shaojie Shen 33 2 0 13 Sep 2024
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 40 6 0 08 May 2024
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition Le Hui Mingmei Cheng Jin Xie Jian Yang 3DPC 232 70 0 07 Jan 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016