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MKS SERVO42C, an upgraded version of MKS SERVO42B, built-in Field-Oriented control algorithm, position/speed/ torque closed-loop, 4 Half bridge driver with 8 MOSFET, it makes the motor quieter, low…
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
ImMesh: An Immediate LiDAR Localization and Meshing Framework
The C-based Firmware Patching Framework for Broadcom/Cypress WiFi Chips that enables Monitor Mode, Frame Injection and much more
Mediapipe-based library to redact faces from videos and images
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
mRemoteNG is the next generation of mRemote, open source, tabbed, multi-protocol, remote connections manager.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A Modular Framework for LiDAR-based Lifelong Mapping
This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of th…
Visualize and select LiDAR tiles to download via wget
Wind estimation and measurements with the use of UAVs, drones, ground lidar, and hopefully more...
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
Detection of vegetation along railway lines using LIDAR data.
The World's First Large Scale Lidar Lane Detection Dataset and Benchmark
3D classification and object segmentation on LiDAR data with Deep Learning (CCIA2022)
A collection of utility functions to ease common preprocessing functions of point clouds
This project aims to map small ditches from high resolution LiDAR data using deep learning
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
firmware for nRF51 chips that is coincidentally compatible with the FindMy (AirTag) ecosystem
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
Raspberry Pi CM4 bindings for JDI LT070ME05000 1200x1920 IPS display