Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
- loam
- slam
- aloam
- localization
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Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
ROS tools for IMU devices
A map representation based on 3D segments
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
A Modular Optimization framework for Localization and mApping (MOLA)
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
An image processing pipeline for ROS.
Interactive Map Correction for 3D Graph SLAM
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Point cloud registration pipeline for robot localization and 3D perception
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations
Multi-threaded and SSE friendly NDT algorithm
C++ API wrapper for displaying shapes and meshes in Rviz
Ground Segmentation from Lidar Point Clouds
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Precise localization based on GNSS and IMU.
Real-Time 3D Semantic Reconstruction from 2D data
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Real time semantic slam in ROS with a hand held RGB-D camera
ROS-based framework and RPi image to control PX4-powered drones 🍀
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
The repository host gives no description.
Dense Visual Odometry and SLAM