engcang/SLAM-application
SLAM-application
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
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engcang
engcang • individual
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This repository provides a comprehensive collection of SLAM (Simultaneous Localization and Mapping) algorithms including LeGO-LOAM, LIO-SAM, FAST-LIO2, and many others for comparison and application. It includes installation guides and configuration files for testing these algorithms on both Gazebo simulations and real-world datasets. The project serves as a benchmark platform for evaluating different SLAM approaches in various scenarios.
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- Project created
- May 5, 2021
- Forked
- Mar 16, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jan 31, 2025
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