Obstacle Avoidance and Path Planning for Blind People on Edge Devices

Institut

Professur für autonome Fahrzeugsysteme

Typ

Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

Visually impaired individuals face significant challenges in navigating outdoor urban environments. These environments are dynamic, with various static and dynamic obstacles that make navigation difficult. There's a need for innovative technological solutions to enhance the autonomy and safety of visually impaired individuals, out of which obstacle avoidance showed to be most relevant.

The objective of this project is to develop an advanced obstacle avoidance and path planning system for blind individuals, optimized for efficient operation on edge devices like smartphones and wearables. The system should be able to combine various input modalities, such as RGB data for semantic understanding of the environment, depth and inertial data for structural insight, to effectively interpret urban landscapes. Additionally, it should be optimized for operation on resource-constrained devices like smartphones and wearables, ensuring efficiency and accessibility for users in dynamic outdoor settings.

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

Voraussetzungen

Requirements:

• Coding experience (Python, C++)
• Expereince with ROS2 and Nav2
• Foundational Knowledge in Robotics
• Curious mindset
• Independent and organized work attitude
• Open-minded team player

Your Benefits:

• Fascinating, future-oriented field of research
• Young and dynamic team
• Academic and professional support beyond the thesis
• Organized and structured thesis project
• If suitable, publication as a scientific paper
• Thesis project in German or English

The thesis can be started immediately. Please send your resume, recent grade report, and a brief description of your fields of interest and why you are the perfect fit for this thesis.

I am always on the lookout for motivated and committed students and look forward to receiving your application.

Möglicher Beginn

sofort

Kontakt

Yamen Mohisn
yamen.mohisnsmartais.de