Source code for the article "Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets"
☆48Jul 6, 2021Updated 4 years ago
Alternatives and similar repositories for fingerprint-localization
Users that are interested in fingerprint-localization are comparing it to the libraries listed below
Sorting:
- ☆104Nov 10, 2024Updated last year
- Code for Simple But Effective Redundant Odometry for Autonomous Vehicles☆114May 30, 2021Updated 4 years ago
- ☆72Sep 2, 2022Updated 3 years ago
- [JAG 2023] LiDAR localization at 100FPS: A map-aided and template descriptor-based global method☆91Feb 4, 2025Updated last year
- Implementation of Monocular Direct Sparse Localization in a Prior 3D Surfel Map (DSL)☆108Nov 18, 2021Updated 4 years ago
- A real-time, robust LiDAR-inertial localization system☆230Sep 18, 2022Updated 3 years ago
- A Modular Framework for LiDAR-based Lifelong Mapping☆519Feb 18, 2025Updated last year
- [RAL 2022] Indirect Point Cloud Registration: Aligning Distance Fields using a Pseudo Third Point Set☆30Jun 30, 2022Updated 3 years ago
- Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)☆296Jun 27, 2023Updated 2 years ago
- Point Cloud-based Place Recognition in Compressed Map☆40Jul 12, 2022Updated 3 years ago
- [ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".☆123Jun 12, 2024Updated last year
- ☆117Oct 30, 2023Updated 2 years ago
- ☆59Apr 12, 2023Updated 2 years ago
- 🤔 MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]☆652Jan 17, 2024Updated 2 years ago
- Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.☆325Jul 14, 2023Updated 2 years ago
- Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment RA-L 2021☆189Mar 24, 2024Updated last year
- MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assump…