OpenCV implementation of lane and vehicle tracking
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Updated
Jul 20, 2015 - C++
OpenCV implementation of lane and vehicle tracking
Sample use cases in OpenCV 🎨
Turn-in assignment for Udacity project detecting and tracking vehicles
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Udacity CarND - Project 05 - Vehicle Detection and Tracking
My undergraduate project
Vehicle detection and classification on a video from an Indian Highway.
Vehicle detection on a video using CNN
Udacity ND013 Self Driving Car Term 1 Project 5
vehicle detection by HOG and color features
Moving Vehicle Detection Project
Detect and track vehicles using color and gradient features and a support vector machine classifier.
Road traffic monitoring using computer vision techniques
Detect Vehicles and Pedestrians and Objects on Road
feature extraction, SVM classifier, window search and heatmap implementation
Self-Driving Car Nanodegree
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
Vehicle detection and tracking using linear SVM classifier
Detecting vehicles in images using HOG features and SVM
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