Any Way You Look At It: Semantic Crossview Localization and Mapping with LiDAR

16 March 2022

Papers citing "Any Way You Look At It: Semantic Crossview Localization and Mapping with LiDAR"

7 / 7 papers shown

Title
SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion Xiyue Guo Jiarui Hu Junjie Hu Hujun Bao Guofeng Zhang 50 0 0 21 Mar 2025
AGL-NET: Aerial-Ground Cross-Modal Global Localization with Varying Scales Tianrui Guan Ruiqi Xian Xijun Wang Xiyang Wu Mohamed Bashir Elnoor Daeun Song Dinesh Manocha 31 1 0 04 Apr 2024
Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints Jacqueline Ankenbauer Parker C. Lusk Annika Thomas Jonathan P. How 16 6 0 08 Mar 2023
Graph-based Global Robot Localization Informing Situational Graphs with Architectural Graphs Muhammad Shaheer Jose A. Millan-Romera Hriday Bavle Jose Luis Sanchez-Lopez Javier Civera Holger Voos 28 6 0 03 Mar 2023
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences Xingyu Chen Jianru Xue Shanmin Pang 3DPC 16 7 0 10 Oct 2022
GAMa: Cross-view Video Geo-localization Shruti Vyas C. L. P. Chen M. Shah AI4TS 9 16 0 06 Jul 2022
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map Yecheng Lyu Xinming Huang Ziming Zhang 19 1 0 19 Oct 2021