JunshengFu / vehicle-detectionLinks
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
☆664Updated last year
Alternatives and similar repositories for vehicle-detection
Users that are interested in vehicle-detection are comparing it to the libraries listed below
Sorting:
- Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering☆553Updated 5 years ago
- real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method☆141Updated 8 years ago
- Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs☆531Updated 3 years ago
- The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation☆554Updated 5 years ago
- Vehicle detection using YOLO in Keras runs at 21FPS☆393Updated 8 years ago
- OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars☆242Updated 4 years ago
- OpenCV 3 & Keras implementation of vehicle tracking with video data.☆120Updated 7 years ago
- Advanced lane detection using computer vision☆551Updated 4 years ago
- Vehicle Detection with Convolutional Neural Network☆155Updated 8 years ago
- Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms☆317Updated 8 years ago
- Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree☆436Updated 5 years ago
- Vehicle Detection by Haar Cascades with OpenCV☆554Updated 3 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆126Updated 7 years ago
- Vehicle Detection, Tracking and Counting☆500Updated 5 years ago
- "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting…☆921Updated 4 years ago
- Detect vehicles in a video☆92Updated 6 years ago
- Built a real-time lane departure warning system with a monocular camera, using OpenCV.☆229Updated 5 years ago
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆335Updated 3 years ago
- ☆128Updated 8 years ago
- Autonomous driving - car detection using the very powerful YOLO model☆84Updated 7 years ago
- A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"☆146Updated 5 years ago
- Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier☆178Updated 4 years ago
- Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking☆228Updated 3 years ago
- Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)☆433Updated 8 years ago
- Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow☆524Updated 3 years ago
- Lane Lines Detection using Python and OpenCV for self-driving car☆109Updated 7 years ago
- Detect traffic lights and classify the state of them, then give the commands "go" or "stop".☆64Updated 5 years ago
- Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.☆356Updated 6 years ago
- Finding Lane Lines using Python and OpenCV☆342Updated 4 years ago
- Vehicle Detection Project☆267Updated 3 years ago