Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Gta V Data Dumps | 629 | 4 months ago | 13 | |||||||
GTA V Data dumps useful for modding & scripting | ||||||||||
Particlefilter | 49 | 7 years ago | C++ | |||||||
An implementation of the Particle Filter using C++ for the purposes of localization. | ||||||||||
Particle Filter | 27 | 7 years ago | 1 | Jupyter Notebook | ||||||
A particle filter to localize a car using LIDAR data | ||||||||||
Osgphysx | 26 | 2 years ago | 2 | lgpl-3.0 | C++ | |||||
Integraion of OpenSceneGraph and NVIDIA PhysX (3.3 or later) | ||||||||||
Tracking_multiple_objects_in_surveillance_cameras | 19 | 6 years ago | 2 | Matlab | ||||||
Automatic detection and tracking of moving vehicles in a video from a surveillance camera | ||||||||||
Kidnapped Vehicle | 14 | 7 years ago | C++ | |||||||
Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map. | ||||||||||
Carnd Kidnapped Vehicle Project | 10 | 7 years ago | C++ | |||||||
My solution to the Udacity Self-Driving Car Engineer Nanodegree Kidnapped Vehicle project. | ||||||||||
Carnd Kidnapped Vehicle Project | 9 | 7 years ago | mit | C++ | ||||||
This repository contains C++ code for implementation of Particle Filter to localize a vehicle kidnapped in a closed environment. This task was implemented to partially fulfill Term-II goals of Udacity's self driving car nanodegree program. | ||||||||||
Trafficdetection | 9 | 8 years ago | 4 | Matlab | ||||||
We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters. | ||||||||||
Kidnapped Vehicle | 9 | 5 years ago | mit | C++ | ||||||
Particle Filter algorithm to localize a vehicle within a few centimeters, given a map, LiDAR measurements, vehicle controls and GPS. |