Realtime Vehicle Detection
Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional neural network.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Self Driving Car | 2,479 | a year ago | 11 | C++ | ||||||
| Udacity Self-Driving Car Engineer Nanodegree projects. | ||||||||||
| Vehicle_counting_tensorflow | 643 | 3 years ago | 27 | mit | Python | |||||
| :oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API. | ||||||||||
| Carnd Project5 Vehicle_detection_and_tracking | 111 | 7 years ago | 1 | Python | ||||||
| Vehicle Detection with Convolutional Neural Network | ||||||||||
| Vehicle Detection | 64 | 5 years ago | 1 | Jupyter Notebook | ||||||
| Detect vehicles in a video | ||||||||||
| Deeptl Lane Change Classification | 56 | a year ago | 11 | mit | Python | |||||
| Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859 | ||||||||||
| Lane And Vehicles Detection | 53 | 5 years ago | 1 | Jupyter Notebook | ||||||
| This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay. | ||||||||||
| Vehicleorientationdataset | 30 | 8 months ago | 1 | mit | ||||||
| The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network. | ||||||||||
| Realtime Vehicle Detection | 27 | 7 years ago | n,ull | C | ||||||
| Graduation project repository, Real-time vehicle detection using two different approaches. HOG+SVM traditional approach and Deep Learning based approach using state of the art YOLO convolutional neural network. | ||||||||||
| Carnd Vehicle Detection | 26 | 7 years ago | 1 | Jupyter Notebook | ||||||
| Monocular vehicle detection using SVM and Deep Learning classifiers | ||||||||||
| Vehicle Detection And Tracking | 25 | 7 years ago | mit | Jupyter Notebook | ||||||
| This is a deep learing approach to Udacitys "Vehicle Detection and Tracking" project in the CarND using CNNs. | ||||||||||
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Vehicle Detection