Copyright: ThalesSource : Thales


AI x Transportation system

This challenge is over, applications are closed

Challenge Overview

Description du challenge

Countries, cities, and transport operators rely on Thales’ ground transportation solutions to adapt to rapid urbanization and meet new mobility demands – locally, between cities, and across national frontiers.From piloting trains to labeling data and luggage, ground transportation systems have a lot of human-centered tasks. However, with the growing number of passengers, data, and the need for a safe transportation system, operators need to make pertinent but quick decisions that AI can support.

AI might help us by augmenting actual data sets with virtual worlds built out of real field data, or monitoring transportation conditions or track conditions using machine learning.

Copyright: Thales
Copyright: Thales
Copyright: Thales
Copyright: Thales


AI-enabled startup expert in:

  • Machine learning
  • Pattern recognition
  • Synthetic data generation
  • Augmented reality
  • Low-impact machine learning
  • Human in the loop systems
  • Computer vision

Experience in:

  • Integrating AI with decision and behavior modeling
  • Human-machine interface
  • Mechanical systems simulation

Projects you could be working on

  • Use deep learning to simulate complex use cases such as the loss of a piece of luggage
  • Find easy on-site computation methods to organize and sort a large amount of sensor data
  • Accelerate the development of asset behavior models by capturing knowledge from asset experts
  • Provide a low footprint AI solution for onboard systems in the age of edge computing
  • Generate perfectly labeled and diverse datasets based on small real-world datasets
  • Use machine learning algorithms to do pattern recognition and anomaly detection on large datasets
  • Develop an onboard supervisor for train operators