Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601
Published:Nov 28, 2022 19:34
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses the challenges of developing autonomous aircraft, focusing on data labeling and scaling. It features an interview with Cedric Cocaud, chief engineer at Airbus's innovation center, Acubed. The conversation covers topics such as algorithms, data collection, synthetic data usage, and programmatic labeling. The article highlights the application of self-driving car technology to air taxis and the broader challenges of innovation in the aviation industry. The focus is on the technical hurdles of achieving full autonomy in aircraft.
Key Takeaways
- •The article explores the application of self-driving car technology to autonomous aircraft.
- •Data labeling, including programmatic and automated methods, is a key challenge.
- •Synthetic data is being considered as a tool for training autonomous systems.
Reference
“The article doesn't contain a specific quote, but rather a summary of the conversation.”