Improved Outdoor Localization Using Visual Input for Guiding Blind People

Institut

Professur für autonome Fahrzeugsysteme

Typ

Masterarbeit /

Inhalt

experimentell / theoretisch / konstruktiv /  

Beschreibung

Also possible as IDP, research internship (Forschungspraxis), guided research, etc.   

This research aims to enhance outdoor localization techniques using visual input to assist in guiding blind individuals. The project focuses on developing advanced algorithms that leverage visual data from wearable cameras to accurately determine the user’s location in various outdoor environments. By integrating computer vision techniques with existing localization methods, the research seeks to improve the precision and reliability of navigation aids. The effectiveness of these improved localization methods will be tested through extensive field trials, assessing their impact on the independence and safety of blind users during outdoor activities.

This research is in collaboration with the Startup SmartAIs (https://de.linkedin.com/company/smartais)

Voraussetzungen

• Coding experience (Python, C++) 

• Foundational knowledge in 2D-3D computer vision and mobile robots navigation 

• Curious mindset 

• Independent and organized work attitude 

Möglicher Beginn

sofort

Kontakt

Yamen Mohisn
yamen.mohisnsmartais.de