Odometry
Showing 12 of 12 projects
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
A Python package for evaluating and comparing odometry and SLAM algorithm trajectories with support for multiple formats and metrics.
A lightweight, ground-optimized lidar odometry and mapping system for ROS-compatible unmanned ground vehicles.
A curated collection of datasets for Simultaneous Localization and Mapping (SLAM) research, categorized by topic, platform, and environment.
A robust, real-time LiDAR odometry and mapping package optimized for Livox LiDARs with small fields of view.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
A CUDA-accelerated library for rapid 3D data processing in robotics, enabling GPU-powered SLAM, collision avoidance, and path planning.
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
Convert KITTI autonomous driving datasets into ROS bag files for easy playback and integration.
A robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping without manual intervention.
A Python devkit for working with the Boreas and Boreas Road Trip all-weather autonomous driving datasets.
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