Library/depth_clustering
Library/depth_clusteringForked

PRBonn/depth_clustering

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

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PRBonn

PRBonn

PRBonn • individual

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1,302

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385

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Activity Score

0/100

0 commits in 30d

Created

Nov 21, 2016

Project creation date

README Summary

Depth clustering is a fast and robust algorithm for clustering point clouds generated by Velodyne LiDAR sensors. The method uses depth images to efficiently segment point clouds into meaningful clusters representing objects in the environment. It provides real-time performance suitable for autonomous driving applications.

AI Dev Skills

Unmapped

3D Point Cloud ProcessingClustering AlgorithmsComputer VisionSensor Data ProcessingReal-time Data AnalysisGeometric Machine LearningUnsupervised Learning

Tags

3D Point Cloud ProcessingClustering AlgorithmsComputer VisionSensor Data ProcessingReal-time Data AnalysisGeometric Machine LearningUnsupervised LearningObject Detection in 3D SpaceOn-premise3DAutonomous VehiclesSensor FusionPoint CloudEmbedded SystemsReal-time AIEnvironmental MappingManufacturingTransportationEdge/MobileEdge AILiDAR Data SegmentationObstacle AvoidanceAutonomous Vehicle PerceptionRoboticsC++

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Recent Activity

Updated 4 years ago

7 Days

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90 Days

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

Edge & Mobile AIPrimaryOther AI / MLDev Tools & AutomationInference & ServingAI AgentsComputer VisionRobotics

PM Skills

Developer Platform

Languages

C++100.0%

Timeline

Project created
Nov 21, 2016
Forked
Mar 16, 2026
Your last push
4 years ago
Upstream last push
4 years ago
Tracked since
Nov 11, 2021

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