Topic: sensor-fusion Goto Github
Some thing interesting about sensor-fusion
Some thing interesting about sensor-fusion
sensor-fusion,Loosely coupled integration of GNSS and IMU
User: aaronboda24
sensor-fusion,MaRS: A Modular and Robust Sensor-Fusion Framework
Organization: aau-cns
sensor-fusion,Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
User: aleksandrkim61
sensor-fusion,PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
User: alexklwong
sensor-fusion,Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
User: alexklwong
sensor-fusion,ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
User: appinho
sensor-fusion,A simple implementation of some complex Sensor Fusion algorithms
User: aster94
sensor-fusion,[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Organization: autonomousvision
sensor-fusion,Extended Kalman Filter predicts the GNSS measurement based on IMU measurement
User: balamuruganky
sensor-fusion,A quaternion based sensor fusion algorithm that fuses accelerometers and gyroscopes and optionally magnetometers
User: bjohnsonfl
sensor-fusion,Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)
Organization: caor-mines-paristech
Home Page: https://caor-mines-paristech.github.io/ukfm/
sensor-fusion,Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019)
User: cattaneod
sensor-fusion,IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
User: cggos
Home Page: https://msf.cgabc.xyz/
sensor-fusion,State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
User: diegoavillegasg
sensor-fusion,Cooperative Driving Dataset: a dataset for multi-agent driving scenarios
User: eduardohenriquearnold
sensor-fusion,Hoverboard sideboard hack for GD32 boards
User: eferu
sensor-fusion,Vehicle State Estimation using Error-State Extended Kalman Filter
User: enginbozkurt
sensor-fusion,algorithms for synchronizing clocks
Organization: ethz-asl
sensor-fusion,Course projects for the Sensor Fusion Nanodegree program on Udacity.
User: fanweng
sensor-fusion,A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Organization: hku-mars
sensor-fusion,FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Organization: hku-mars
sensor-fusion,A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Organization: hku-mars
sensor-fusion,Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
Organization: hku-mars
sensor-fusion,Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
Organization: hkust-aerial-robotics
sensor-fusion,Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
User: hyye
Home Page: https://sites.google.com/view/lio-mapping
sensor-fusion,LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Organization: kit-isas
sensor-fusion,Arduino sketches for MPU9250 9DoF with AHRS sensor fusion
User: kriswiner
sensor-fusion,Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
User: lahirujayasinghe
sensor-fusion,A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
Organization: leggedrobotics
sensor-fusion,alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
User: lucasjinreal
sensor-fusion,MPU6050/9250 I2C and SPI interface. Sensor fusion using a complementary filter yields sensor Euler angles and is implemented in five different languages.
User: marksherstan
sensor-fusion,An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰
User: methyldragon
sensor-fusion,State estimation and filtering algorithms in Go
User: milosgajdos
sensor-fusion,[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Organization: mit-han-lab
Home Page: https://bevfusion.mit.edu
sensor-fusion,An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
User: mithi
sensor-fusion,Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)
User: mrnabati
sensor-fusion,TI mmWave radar ROS driver (with sensor fusion and hybrid)
Organization: radar-lab
sensor-fusion,Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
User: ser94mor
sensor-fusion,A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
User: sharathsrini
sensor-fusion,Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
User: sjtu-visys
sensor-fusion,HybVIO visual-inertial odometry and SLAM system
Organization: spectacularai
Home Page: https://arxiv.org/abs/2106.11857
sensor-fusion,A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
User: turtlezhong
Home Page: https://github.com/TurtleZhong/Map-based-Visual-Localization/wiki
sensor-fusion,X Inertial-aided Visual Odometry
Organization: ucla-vision
sensor-fusion,This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Organization: umich-bipedlab
Home Page: https://ieeexplore.ieee.org/document/9145571
sensor-fusion,Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
Organization: vis4rob-lab
sensor-fusion,Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
User: wvangansbeke
Home Page: https://arxiv.org/pdf/1902.05356.pdf
sensor-fusion,GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
User: xikunliu-huskit
sensor-fusion,[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
User: xingyuuchen
sensor-fusion,Kalman filter, sensor fusion
User: zhujun98
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