Vehicle Detection, Tracking and Counting
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Updated
Mar 7, 2020 - C++
Vehicle Detection, Tracking and Counting
OpenCV implementation of lane and vehicle tracking
Vehicle detection, tracking and counting by blob detection with OpenCV on c++.
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
Detect and track vehicles in video
Automate traffic counting with a Raspberry Pi and Computer Vision
Monocular CubeSLAM implementation without ROS integration
Bus (vehicle) tracking system using GPS neo 6m, GSM SIM 900a, arduino and google maps. The system was made for the purposes of Jashore University of Science & Technology bus tracking
Semi-automatic detection, tracking and labelling of active targets for autonomous driving.
OpenCv based live vechicle counting system written in C.
My undergraduate project
Locate your motorcycle 24 hours a day, 365 days a year
Arduino application for Polaris IoT platform
Intelligent Transportation System based on Artificial Intelligence
iOS app to track the miles you drive
The device tracks gps location of a vehicle in which it is mounted in. It has 2 main hardware components are NodeMCU ESP8266 and NEO 6M GPS module. NodeMCU must have wifi connectivity in order to display results on phone. Neo 6M gps is a sensor module that detects its own location. We get results on Blynk app.
Self Driving Car Engineer Nanodegree
Programming on a microcontroller to achieve the movement, tracking, and obstacle avoidance of the vehicle.
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Code for the Udacity Self-Driving Car Engineer Nanodegree projects.
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