kahowang/FAST_LIO_SAM
FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
Builder
kahowang
kahowang • individual
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803
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130
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0/100
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Created
Jun 14, 2022
Project creation date
README Summary
FAST_LIO_SAM is a SLAM system that combines FAST-LIO2 as the front-end with LIO-SAM as the back-end for improved localization and mapping performance. The repository integrates two popular LiDAR-inertial odometry approaches to leverage the strengths of both systems.
AI Dev Skills
Unmapped
SLAM (Simultaneous Localization and Mapping)LiDAR Point Cloud ProcessingSensor FusionIMU Data ProcessingLoop Closure DetectionPose Graph OptimizationReal-time Robotics Systems
Tags
SLAM (Simultaneous Localization and Mapping)LiDAR Point Cloud ProcessingSensor FusionIMU Data ProcessingLoop Closure DetectionPose Graph OptimizationReal-time Robotics SystemsReal-time Robot Pose EstimationRoboticsEmbedded SystemsReal-time ProcessingEdge/MobileAutonomous VehiclesMobile Robot NavigationAutonomous Vehicle LocalizationLiDAR Point CloudsIndoor/Outdoor SLAMOn-premiseEdge/Mobile AI3DDrones/UAVs3D Environment MappingIndustrial AutomationIMU Sensor DataMakefile
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Recent Activity
Updated 2 years ago
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Quality
research- Quality
- medium
- Maturity
- research
Categories
Dev Tools & AutomationPrimaryInference & ServingEdge & Mobile AIOther AI / MLAI AgentsComputer VisionRobotics
PM Skills
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Languages
Makefile100.0%
Timeline
- Project created
- Jun 14, 2022
- Forked
- Mar 22, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Jan 4, 2024
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