United they fly! Help us build a distributed drone brain.
The trend towards autonomous drones is currently driving the integration of an increasing number of sensors for safe navigation under all circumstances, forcing algorithms and hardware to be energy efficient and fast.
When drone technology continues to mature, deploying swarms of them will enable even more advanced use cases, for example in precision agriculture.
Swarms also offer the possibility of sharing both sensory and compute resources, making the swarm act and respond as a single collaborative entity with overall better performance.
In this PhD project, you will work with real-world multi-sensory data collected by multiple drones and develop a spike-based neuromorphic fusion solution running on custom imec hardware.
More specifically, you will focus on the following research questions :
We will investigate different solutions to perform spike encodings and carry out the learning. A trade off will be made vs power consumption and hardware.
Which sensor fusion tasks need to be performed by which nodes in a collaborative setting?
Required background : Engineering science, computer / data science Type of work : 60% modeling / simulation, 30% experimental, 10% literature Supervisor : Steven Latré
Co-supervisor : Werner Van Leekwijck
Daily advisor : Ilja Ocket
The reference code for this position is 2021-119 . Mention this reference code on your application form.