Autonomous Obstacle Avoidance with Nano-Drones and Novel Depth Sensors
From iis-projects
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
- 20% Literature / familiarization with UWB
- 30% Bare-metal / FreeRTOS C programming
- 30% Signal processing / machine learning
- 20% Evaluation
Prerequisites
- Strong interest in embedded systems
- Experience with data acquisition and analysis
- Experience with low-level C programming
References
[1] Corbalán, Pablo, and Gian Pietro Picco. "Ultra-wideband concurrent ranging." ACM Transactions on Sensor Networks (TOSN) 16.4 (2020): 1-41.