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March 12, 20260 citationsOpen Access

Use of AI for Big Data Processing and Understanding for Validation of ADAS - EXAKI training

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TCThe EXA4MIND ConsortiumDHDavid Hurych

Key Points

  • The aim is to highlight AI methods for big data processing in validating Advanced Driver-Assistance Systems (ADAS).
  • Presentation on methods for processing image, LiDAR, and text data
  • Description of unsupervised machine learning models
  • Discussion of the EXA4MIND project's data management strategies using supercomputers and cloud technologies
  • Insights into the effectiveness of AI models for data validation in ADAS
  • Demonstrated capacity for handling extremely large datasets
  • Enhanced understanding of unsupervised learning's role in data analysis

Abstract

In this EXA4MIND training, David Hurych (Valeo) presents the latest methods and AI models for processing image, LiDAR, and text data used in the validation of ADAS before they are deployed on the road in real traffic. The presentation also describes unsupervised machine learning methods developed within the platform for extreme data EXA4MIND project for the transfer, storage, and analysis of extremely large-scale data using supercomputers and cloud technologies.

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Cite This Study

Consortium et al. (2026) studied this question.

synapsesocial.com/papers/69b25b4996eeacc4fcec9e3fhttps://doi.org/10.5281/zenodo.18935726
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