vehicle-detection
There are 37 repositories under vehicle-detection topic.
ndrplz / self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
Language:C++ 2695ahmetozlu / vehicle_counting_tensorflow
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
vehicle-detectionvehicle-trackingvehicle-detection-and-trackingvehicle-countingcolor-recognitionspeed-predictionobject-detectionobject-detection-labeldetectionpredictionpythontensorflowtensorflow-object-detection-apiopencvimage-processingcomputer-visionmachine-learningdeep-learningdeep-neural-networksdata-scienceLanguage:Python 860JunshengFu / vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Language:Python 617andrewssobral / vehicle_detection_haarcascades
Vehicle Detection by Haar Cascades with OpenCV
Language:C++ 532Vehicle Detection, Tracking and Counting
Language:C++ 496xslittlegrass / CarND-Vehicle-Detection
Vehicle detection using YOLO in Keras runs at 21FPS
Language:Jupyter Notebook 388- Language:Python 286
yukitsuji / 3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
Language:Python 283tugot17 / YOLO-Object-Counting-API
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
Language:Python 204chenjoya / Vehicle_Detection_Recognition
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
Language:MATLAB 200tomazas / opencv-lane-vehicle-track
OpenCV implementation of lane and vehicle tracking
Language:C++ 185antevis / CarND-Project5-Vehicle_Detection_and_Tracking
Vehicle Detection with Convolutional Neural Network
Language:Python 150shreyapamecha / Speed-Estimation-of-Vehicles-with-Plate-Detection
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
Language:Python 150guptavasu1213 / Yolo-Vehicle-Counter
This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
Language:Python 132windowsub0406 / Vehicle-Detection-YOLO-ver
real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method
Language:Python 131hlesmqh / WS3D
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Language:Python 122Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
Language:C++ 116Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
Language:C++ 97subodh-malgonde / vehicle-detection
Detect vehicles in a video
Language:Jupyter Notebook 91wsh122333 / Multi-type_vehicles_flow_statistics
According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
Language:Python 85jasur-2902 / CarRecognition
This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
Language:Java 81Ekim-Yurtsever / DeepTL-Lane-Change-Classification
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
Language:Python 69akhilesh-k / Lane-and-Vehicles-Detection
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.
Language:Jupyter Notebook 65xfgryujk / VehicleDetection
Detect and track vehicles in video
Language:C++ 51hayoung-kim / Perception-for-Self-driving
Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.
Language:Jupyter Notebook 49Landzs / Tracking_Multiple_Objects_In_Surveillance_Cameras
Automatic detection and tracking of moving vehicles in a video from a surveillance camera
Language:MATLAB 44sekilab / VehicleOrientationDataset
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.
ozcanovunc / opencv-samples
Sample use cases in OpenCV 🎨
Language:C++ 42vanhaito / YOLOX-ByteTrack-Car-Counter
Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.
Language:Python 40VedantKhairnar / Adaptive-Traffic-Signal-Control-System
The name says everything...
Language:Python 39hankerkuo / Vehicle-Front-Rear-Detection-for-License-Plate-Detection-Enhancement
A Network for detecting and classifying vehicle's front and rear
Language:C 37nikitalpopov / vedai
vedai dataset for darknet
Language:Python 36kuldeepbishnoi / Automatic-Emergency-Braking
Implementation of the Automatic Emergency Braking System using deep learning.
Language:Python 32rmcqueen / traffic-monitor
Automate traffic counting with a Raspberry Pi and Computer Vision
Language:C++ 32- Language:Go 31
Kalebu / Real-time-Vehicle-Dection-Python
A python project that does real-time vehicle detection using a trained car-cascade Model
Language:Python 30
