Project5 - Self Driving Car Nano Degree Program

Vehicle Detection Project

Udacity Self-Driving Car Nanodegree: Vehicle Detection Project

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

Video/Image processing project using Blob Detection.

Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5

Vehicle Tracking Full Project Using C#,ASP.net,Javascript etc

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

A collection of all projects pertaining to different layers in the SDC software stack

Proyecto de control de trafico e intercepción de semáforos inteligentes.

Modified TensorFlow Object Detection Model for vehicle detection and tracking

Automatic detection and tracking of moving vehicles in a video from a surveillance camera

Track a single car by using Kalman filter

Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.

Semi-automatic detection, tracking and labelling of active targets for autonomous driving.

Detecting Cars in real time and identifying the speed of cars and tracking

detect objects from cctv camera

detect the no of people every second entering building gate. #person-detection

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)