| DurtyFree/gta-v-data-dumps |
629 |
|
0 |
0 |
over 2 years ago |
0 |
|
13 |
|
|
| GTA V Data dumps useful for modding & scripting |
| vatsl/ParticleFilter |
49 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
C++ |
| An implementation of the Particle Filter using C++ for the purposes of localization. |
| ksakmann/Particle-Filter |
27 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A particle filter to localize a car using LIDAR data |
| xarray/osgPhysX |
26 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
lgpl-3.0 |
C++ |
| Integraion of OpenSceneGraph and NVIDIA PhysX (3.3 or later) |
| Landzs/Tracking_Multiple_Objects_In_Surveillance_Cameras |
19 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Matlab |
| Automatic detection and tracking of moving vehicles in a video from a surveillance camera |
| JunshengFu/kidnapped-vehicle |
14 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
C++ |
| Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map. |
| jeremy-shannon/CarND-Kidnapped-Vehicle-Project |
10 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
C++ |
| My solution to the Udacity Self-Driving Car Engineer Nanodegree Kidnapped Vehicle project. |
| theHeathLee/Connected-Oldtimer |
9 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
|
| 📡🚎Connectivity Project for my old volkswagen |
| ab39826/TrafficDetection |
9 |
|
0 |
0 |
over 9 years ago |
0 |
|
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. |
| sohonisaurabh/CarND-Kidnapped-Vehicle-Project |
9 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
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. |
