ndt_omp
A multi-threaded, SSE-optimized Normal Distributions Transform algorithm for point cloud registration, offering up to 10x speedup over the original PCL implementation.
What is ndt_omp?
ndt_omp is an open-source, performance-optimized implementation of the Normal Distributions Transform algorithm for point cloud registration. It solves the problem of slow alignment of 3D point clouds by introducing multi-threading and SSE optimizations, achieving up to 10x speed improvements over the standard PCL version.
Robotics engineers, autonomous vehicle developers, and researchers working with 3D perception systems who need fast and efficient point cloud registration for real-time applications.
Developers choose ndt_omp for its significant performance gains through parallel processing and SIMD optimizations, while maintaining compatibility with existing PCL workflows and offering multiple configurable search methods for different use cases.
Overview
Multi-threaded and SSE friendly NDT algorithm
Use Cases
Best For
- Real-time point cloud alignment in autonomous driving systems
- Fast 3D mapping and localization in robotics
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