Difference between revisions of "Autonomous Obstacle Avoidance with Nano-Drones and Novel Depth Sensors"
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Revision as of 16:55, 4 February 2022
Contents
Overview
Status: Available
- Type: Master Thesis, Semester Project
- Professor: Prof. Dr. L. Benini
- Supervisors:
Project Description
thumb|center|800px| Classical ranging vs Concurrent ranging
Character
- 30% Literature and algorithm development
- 30% FreeRTOS C programming (STM32 Platform)
- 40% In-field evaluation and testing
Prerequisites
- Strong interest in embedded systems
- Experience with data acquisition and analysis
- Experience with low-level C programming
