Library/C-LOAM
Library/C-LOAMForked

Yaepiii/C-LOAM

C-LOAM

A Compact LiDAR Odometry and Mapping with Dynamic Removal [ICUS 2024]

Builder

Yaepiii

Yaepiii

Yaepiii • individual

Stars

173

Using upstream star count

Forks

10

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Oct 19, 2024

Project creation date

README Summary

C-LOAM is a compact LiDAR odometry and mapping system that incorporates dynamic object removal capabilities. The system is designed to improve SLAM performance in dynamic environments by filtering out moving objects during the mapping process. This work was published at ICUS 2024 and provides a more robust solution for LiDAR-based navigation in real-world scenarios.

AI Dev Skills

Unmapped

LiDAR-based SLAMPoint Cloud ProcessingDynamic Object Detection and RemovalSensor FusionReal-time Localization3D Mapping AlgorithmsRobotic Perception

Tags

LiDAR-based SLAMPoint Cloud ProcessingDynamic Object Detection and RemovalSensor FusionReal-time Localization3D Mapping AlgorithmsRobotic PerceptionRoboticsPoint CloudEdge/MobileSensor-based AIOn-device AIAutonomous VehiclesReal-time Environment MappingAutonomous Robot Navigation3DReal-time AI ProcessingLiDAR Odometry EstimationWarehouse AutomationMobile Robot LocalizationAgricultureOn-deviceDynamic Object FilteringConstructionC++

Taxonomy

Recent Activity

Updated 1 years ago

7 Days

0

30 Days

0

90 Days

0

Quality

research
Quality
medium
Maturity
research

Categories

Dev Tools & AutomationPrimaryInference & ServingEdge & Mobile AIOther AI / MLAI AgentsComputer VisionRobotics

PM Skills

Developer Platform

Languages

C++100.0%

Timeline

Project created
Oct 19, 2024
Forked
Mar 22, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Feb 14, 2025

Similar Repos

pgvector cosine similarity · $0

Loading…