wangqiang151's Stars
sybrenstuvel/random-blender-addons
My Blender addon scripts, in no particular order.
brookicv/FFMPEG-study
学习FFMPEG的一些代码示例
FFmpeg/FFmpeg
Mirror of https://git.ffmpeg.org/ffmpeg.git
johschmitz/blender-driving-scenario-creator
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
abumq/licensepp
Software licensing and registration using digital signatures and public cryptography 🪪
open-license-manager/licensecc
Software licensing, copy protection in C++. It has few dependencies and it's cross-platform.
cleinc/slslam
Building a 3D Line-based Map Using a Stereo SLAM
srnand/Object-Tracking-and-State-Prediction-with-Unscented-and-Extended-Kalman-Filters
Radar and Lidar Sensor Fusion using Simple, Extended, and Unscented Kalman Filter for Object Tracking and State Prediction.
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'.
laventura/Unscented_KalmanFilter
Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.
scipy/scipy
SciPy library main repository
zhujun98/sensor-fusion
Kalman filter, sensor fusion
ethz-asl/ethzasl_msf
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
msg/g2ools
Nord Modular G2 utilities
Humhu/isam
Modified version of Incremental Smoothing and Mapping (ISAM) by Michael Kaess (http://people.csail.mit.edu/kaess/isam/)
ccorcos/robotics-smoothing-and-mapping
Smoothing and mapping implemented in python with a simulator for my coordinated mobile robotics class
mithi/fusion-ukf
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
jineshpaloor/text-classification
Scripts written for text classification using gensim library(python)
dennari/thesis
Gaussian filtering and smoothing based parameter estimation in nonlinear models for sequential data
commaai/laika
Simple Python GNSS processing library
rachuism/Unscented-Kalman-Filter
Implement an unscented Kalman filter using the CTRV motion modeIs
karamadai/Unscented-Kalman-Filter
Unscented Kalman Filter using CTRV process model to fuse Lidar and Radar Sensor data
apennisi/jpdaf_tracking
A tracker based on joint probabilistic data association filtering.
bednarikjan/TrajectoryClustering
This application written in Python is capable of fully automatic clustering of 2D trajectory data.
apolcyn/traclus_impl
Python implementation of Traclus algorithm, for 2-D trajectories
UCL-SML/gibbs-rtss
Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)
allen8r/sdc-sensor-fusion-extended-kalman-filter
Using simulated radar and lidar laser data, create Extended Kalman Filters to predict path of a detected object.
afcarl/sensible
multi-target multi-sensor tracking and fusion for urban traffic intersections
buptis073114/XMLParseExample
最近在做QT项目,要把一些配置内容写入xml中,网上没有一个可以概括xml增删改查的内容,现在写一篇,包含完整的增删改查,测试通过,具体代码如下:
diazona/interp2d
A 2D interpolation library compatible with GSL.