Fast LOAM
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
What is Fast LOAM?
FLOAM is an optimized LiDAR odometry and mapping system that enables robots to localize themselves and build maps of their environment in real-time using 3D LiDAR data. It improves upon existing LOAM algorithms by reducing computational cost by up to 3x while maintaining high localization accuracy for both indoor and outdoor applications.
Robotics researchers and engineers working on autonomous systems that require real-time localization and mapping, particularly those using LiDAR sensors on resource-constrained platforms.
Developers choose FLOAM for its significantly faster processing speed compared to A-LOAM and LOAM while maintaining comparable or better accuracy, making it ideal for real-time robotic applications where computational efficiency is critical.
Overview
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
Use Cases
Best For
- Real-time localization for autonomous ground vehicles
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