PRBonn/kiss-icp
kiss-icp
A LiDAR odometry pipeline that just works
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PRBonn
PRBonn • individual
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2,130
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431
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Created
Sep 13, 2022
Project creation date
README Summary
KISS-ICP is a simple and effective LiDAR odometry pipeline that provides real-time pose estimation from LiDAR point clouds. It focuses on being easy to use while maintaining good performance across different LiDAR sensors and environments. The system is designed to work out-of-the-box without requiring extensive parameter tuning.
AI Dev Skills
Unmapped
LiDAR Point Cloud Processing3D Odometry EstimationSLAM (Simultaneous Localization and Mapping)Iterative Closest Point (ICP) Algorithms3D Geometric Computer VisionPoint Cloud RegistrationReal-time 3D Perception
Tags
LiDAR Point Cloud Processing3D Odometry EstimationSLAM (Simultaneous Localization and Mapping)Iterative Closest Point (ICP) Algorithms3D Geometric Computer VisionPoint Cloud RegistrationReal-time 3D PerceptionEdge/MobileSensor FusionConstruction TechIndustrial Automation3D Mapping and SurveyingAutonomous Vehicle PositioningRobot Navigation and LocalizationDrone Path PlanningOn-device AIEdge AIMobile Robot SLAMReal-time PerceptionRoboticsAutonomous VehiclesSelf-hostedDrone TechnologyPoint Cloud3DC++
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Deployment Context
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Recent Activity
Updated 3 months ago
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Quality
beta- Quality
- high
- Maturity
- beta
Categories
Inference & ServingPrimaryEdge & Mobile AIOther AI / MLDev Tools & AutomationComputer VisionRoboticsAI Agents
PM Skills
Product DiscoveryUser Experience
Languages
C++100.0%
Timeline
- Project created
- Sep 13, 2022
- Forked
- Mar 16, 2026
- Your last push
- 3 months ago
- Upstream last push
- 3 months ago
- Tracked since
- Jan 5, 2026
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