Software project of the iSpace in the Electronic Technology Department of the University of Vigo - DEPRECATED
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Updated
Jul 30, 2017 - Python
Software project of the iSpace in the Electronic Technology Department of the University of Vigo - DEPRECATED
PyTorch version of ndrplz's self-driving-car project.
760607-Images-Vehicles-Detection-Data-in-Surveillance-Scenes
Udacity Self Driving Car Engineer Nanodegree Project 5 Vehicle Detection
detect and track vehicles in a video, taken with a front facing camera mounted on a car
Vehicle Detection Project from the Udacity Self-Driving Car Engineer Nanodegree
The prototype as of now involves detecting of car lanes and vehicles which comes in path/view of our driver, and uses HaarsCascade algo. and Hough transformation mainly for the purpose.
Udacity ND013 Self Driving Car Term 1 Project 5
Vehicle Detection Project
This is my first repository and it is based on object detection and object tracking of vehicles. It will first detect and count the vehicles.
Computer vision techniques to detect vehicles
The goal of this project is to write a software pipeline to detect vehicles in a video stream obtained from a camera mounted on a car while driving.
Hanyang University 2021 Fall / AI+X:Deep Learning / Final Project
Techniques used are Canny Edge Detection, Lane Dtection using Hough Transform, Feature Extraction using Histogram of Oriented Gradients (HOG) and a Vehicle Detection Model using SVM
GuardianDrive is an embedded IoT project that ensures safe journeys by detecting alcohol levels, accidents, and seat belt usage using gas, vibration, and infrared sensors. The system prevents vehicle start-up in the presence of alcohol, alerts for missing seat belts, and initiates accident notifications via GPS and GSM modules.
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