🗺️ This project is an extension of the IO2D map display code that uses A* algorithm to find a path between two points on the map.
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Updated
Dec 21, 2020 - C++
🗺️ This project is an extension of the IO2D map display code that uses A* algorithm to find a path between two points on the map.
Route Mapping for Long-Distance Cycle Touring: A Java app for calcluating and viewing cycling routes across the UK.
Udacity Route Planning Project
Route planning and optimization engine written in C++
Collection of all projects of Udacity's C++ Nanodegree
Udacity C++ Nanodegree Program- Build an OpenStreetMap Route Planner
A GIS utility to identify the hurdles before surveying the route for movement of ODC (Over Dimension Cargo) / OWC (Over Weight Cargo). By using this tool, surveyor can get bottle necks to be taken care.
A Route Planning Project submission that was part of the Udacity C++ Nano degree curriculum
This is the code implementation of the paper titled "Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness"
an assortment of projects critical to understanding the basics of self-driving cars
Artifical Potential Field based Autonomous Driving Algorithm based on CALRA sim
An Incremental SAT-Based Approach for Solving the Real-Time Taxi-Sharing Service Problem (preprint version, SUMO simulation)
University course (AP2) programming project. Implemented a route planner that works within the city of Barcelona, Catalonia, optimizing routes based on the real time congestion state of every tracked street in a Barcelona OpenData dataset. This project also counts with a Telegram bot to assist in the usage of the python module.
An ultra-precision polishing path planning software for polycrystalline superhard materials based on the particle swarm organization (Developed based on Python).
the route planner that generate an optimized route that covers all the desired locations, suggesting the best sequence to follow
A Telegram bot for planning routes in the Moscow Metropolitan
A course project in C++ using real map data and A* search to find a path between two points, just as you might see in a desktop or mobile mapping application. The project you written will be using data from the OpenStreetMap project.
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