ETU ATLAS Company Profile, Contacts & Intelligence

ETU ATLAS Overview

As the ETU ATLAS team, we are TOBB University of Economics and Technology students who are preparing for the "Artificial Intelligence in Transportation" competition at the TEKNOFEST. Our task in this competition is to detect objects using pre-recorded footage from a UAV (Unmanned Aerial Vehicle). The UAV will represent footage from an aircraft flying at low-altitude including flight maneuvers and images in focus. The footage that will be used for testing purposes during the competition will have been labeled beforehand, and the competitors will be scored for their accuracy of detection within the given time limit. These objects will be of detectable quality as they will be variations of objects available in the footage broadcast during the competition, sample videos, and training videos. Another goal of ours is to identify the Flying Car Park (FCP) and Flying Ambulance Landing (FAL) areas. After the FCP and FAL areas are identified, we will work on a design that will determine whether these areas are suitable for landing and verify that there are no people, vehicles, or any foreign objects in this area. In this process, we will act by thinking that flying cars continue their duty at night, during the day, and in difficult weather conditions (rain, fog, snow). We are confident that we will get the results of our sure steps, hard work, and determination we will take on the way to success.

Industry

Technology, Information And Media

Founded

2022

NAICS

Information

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