Programmatic Labeling and Weak Supervision for Autonomous Commercial Aviation with Cedric Cocaud
EPISODE 601
|
NOVEMBER
28,
2022
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About this Episode
Today we’re joined by Cedric Cocaud, the chief engineer of the Wayfinder Group at Acubed, the innovation center for aircraft manufacturer Airbus. In our conversation with Cedric, we explore some of the technical challenges of innovation in the aircraft space, including autonomy. Cedric’s work on Project Vahana, Acubed’s foray into air taxis, attempted to leverage work in the self-driving car industry to develop fully autonomous planes. We discuss some of the algorithms being developed for this work, the data collection process, and Cedric’s thoughts on using synthetic data for these tasks. We also discuss the challenges of labeling the data, including programmatic and automated labeling, and much more.
About the Guest
Cedric Cocaud
ACubed
Resources
- Check out our ongoing coverage of Data-Centric AI
- Blog: The Role of Data Curation and Data Labeling in Vision-Based Machine Learning and AI
- Blog: Manual Data Labeling for Vision-Based Machine Learning and AI
- Blog: Automatic Data Labeling Strategies for Vision-Based Machine Learning and AI
- Blog: Airbus concludes ATTOL with fully autonomous flight tests
