Deep Sky

Fully Autonomous Aircraft - Luuk Van Dijk - Daedalean AI

February 24, 2021 Samuel Chandra Season 1 Episode 4
Deep Sky
Fully Autonomous Aircraft - Luuk Van Dijk - Daedalean AI
Chapters
Deep Sky
Fully Autonomous Aircraft - Luuk Van Dijk - Daedalean AI
Feb 24, 2021 Season 1 Episode 4
Samuel Chandra

This week we have a conversation with Luuk Van Dijk, he is the CEO and founder of Daedalean AI. A Zurich based company that is creating autopilots that will enable manned aircraft to fly autonomously. 

Luuk has a PhD in physics and has spent time working at both Google and Space X before starting his company. He sits on the SAE G-34 Artificial Intelligence in Aviation committee and has recently collaborated with EASA on concepts of design assurance for neural networks. 

Daedalean is currently developing pilot assistance systems with an eye to eventually creating a system that can fully fly and manage an aircraft, including making all of the in-flight judgement calls that a pilot would typically make. Their initial pilot assistance offering consists of three products. Landing assistance for the normal and emergency case, navigation and detect and avoid assistance. In order to make these a reality, they are developing advanced image recognition capabilities, tailored for the aviation domain. This image recognition is primarily built upon the deep neural network software architecture which is closely associated with "AI"

If you have any questions about the future of AI in Aviation, or would like to have a chat about how AI may impact your business or career in the future, then please send me an email at:

[email protected]

Daedalean website

Collaboration with EASA

Show Notes

This week we have a conversation with Luuk Van Dijk, he is the CEO and founder of Daedalean AI. A Zurich based company that is creating autopilots that will enable manned aircraft to fly autonomously. 

Luuk has a PhD in physics and has spent time working at both Google and Space X before starting his company. He sits on the SAE G-34 Artificial Intelligence in Aviation committee and has recently collaborated with EASA on concepts of design assurance for neural networks. 

Daedalean is currently developing pilot assistance systems with an eye to eventually creating a system that can fully fly and manage an aircraft, including making all of the in-flight judgement calls that a pilot would typically make. Their initial pilot assistance offering consists of three products. Landing assistance for the normal and emergency case, navigation and detect and avoid assistance. In order to make these a reality, they are developing advanced image recognition capabilities, tailored for the aviation domain. This image recognition is primarily built upon the deep neural network software architecture which is closely associated with "AI"

If you have any questions about the future of AI in Aviation, or would like to have a chat about how AI may impact your business or career in the future, then please send me an email at:

[email protected]

Daedalean website

Collaboration with EASA