ShepherdSosimple

ShepherdSosimple's Stars

• xavysp/TEED

  TEED: Tiny and Efficient Edge Detector

  Language:Python18817

• xavysp/DexiNed

  DexiNed: Dense EXtreme Inception Network for Edge Detection

  Language:Python750157

• smarc-project/smarc_missions

  🟢 Behavior trees and such for different missions

  Language:Python613

• BehaviorTree/BehaviorTree.CPP

  Behavior Trees Library in C++. Batteries included.

  Language:C++3.1k681

• zhixy/multical

  Multiple targets for multiple IMUs, cameras and LiDARs (Lasers) spatiotemporal calibration

  Language:C++16432

• towardsautonomy/cam_intrinsic_calibration_single_image

  Camera Intrinsic Calibration from a Single Image

  Language:Python343

• adis300/filter-c

  Elegant Butterworth and Chebyshev filter implemented in C, with float/double precision support. Works well on many platforms. You can also use this package in C++ and bridge to many other languages for good performance.

  Language:C14935

• berndporr/iir1

  DSP IIR realtime filter library written in C++

  Language:C++661142

• ctu-mrs/mrs_vins_imu_filter

  Filtering of IMU data to be used in VINS algorithms

  Language:C++51

• nxsEdson/Butterworth-Filter

  C++ implementation of Butterworth filter.

  Language:C++3213

• Hanqer/lines-manual-labeling

  Straight-line annotator. (直线标注工具)

  Language:C++13

• Hanqer/deep-hough-transform

  Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

  Language:Python34772

• betaBison/gnss-sensor-fusion

  Extended Kalman Filter (EKF) for position estimation using raw GNSS signals, IMU data, and barometer

  Language:Python513

• rpng/MINS

  An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.

  Language:C++49479

• CIFASIS/gnss-stereo-inertial-fusion

  GNSS-Stereo-Inertial SLAM implementation that fuses GNSS, visual and inertial measurements using a tightly-coupled approach.

  Language:C++4212

• chichengcn/gici-open

  GNSS/INS/Camera Integrated Navigation Library

  Language:C++482123

• url-kaist/dynaVINS

  DynaVINS : A Visual-Inertial SLAM for Dynamic Environments

  Language:C++35551

• i2Nav-WHU/IC-GVINS

  A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System

  Language:C++526117

• xiaohong-huang/RTK-Visual-Inertial-Navigation

  A method used sliding window filter frame work for RTK-Visual-Inertial-Navigation

  Language:C++9614

• castacks/tartancalib

  TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags

  Language:C++24239

• introlab/rtabmap

  RTAB-Map library and standalone application

  Language:C++2.9k792

• rameau-fr/MC-Calib

  A generic and robust calibration toolbox for multi-camera systems

  Language:C++42562

• linyicheng1/LET-NET

  LET-NET: A lightweight CNN network for sparse corners extraction and tracking

  Language:C++20124

• ethz-asl/ethzasl_msf

  MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)

  Language:C++1k438

• barbagroup/CFDPython

  A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Jupyter Notebook3.5k1.2k

• rlabbe/filterpy

  Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

  Language:Python3.4k630

• AllenDowney/ThinkDSP

  Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

  Language:Jupyter Notebook4k3.3k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• giampaolo/psutil

  Cross-platform lib for process and system monitoring in Python

  Language:Python10.4k1.4k

• dukynuke/robustKFimuOnly

  Language:MATLAB5