Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
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- ros
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Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.
A Versatile and Accurate Monocular SLAM
Tesla Mod — Flipper Zero & ESP32. Nag killer, FSD region unlock, track mode, BMS dashboard, blind spot alert, high beam strobe, CAN capture, steering mode + more. Works via OBD-II or X179 connector.
ROS tools for IMU devices
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A Modular Optimization framework for Localization and mApping (MOLA)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Interactive Map Correction for 3D Graph SLAM
X Inertial-aided Visual Odometry
CubeSLAM: Monocular 3D Object Detection and SLAM
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Real time semantic slam in ROS with a hand held RGB-D camera
Free, open-source 3D sculpting for Linux, macOS and Windows: dense meshes, remeshing, painting, built-in AI (image/text to 3D), Send to Unreal, game-ready LODs, Gaussian splats and OpenUSD.
Dense Visual Odometry and SLAM
CCTZ is a C++ library for translating between absolute and civil times using the rules of a time zone.
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
C++ Fixed Containers
C++ Faker library for generating fake (but realistic) data.
Amazon Kinesis Producer Library
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping