Energy efficient perception

  • Kannala, Juho (Principal investigator)
  • Häkkinen, Iira (Project Member)
  • Zhang, Yejun (Project Member)
  • Fang, Junyuan (Project Member)
  • Turkulainen, Matias (Project Member)
  • Wang, Zihan (Project Member)
  • Taka, Veikka (Project Member)

Project Details

Description

This project focuses on advancing computational approaches that are essential for energy efficient machine perception in autonomous machines of the future. These advances are needed to allow computer vision and artificial intelligence to fulfill the expectations of transforming ICT industry to become more efficient and sustainable in the long run. There are already plenty of research and development efforts for the electrification of vehicles and working machines, which have traditionally been powered by fossil fuels, and simultaneously a related trend of increasing the level of autonomy with better performing sensors, perception systems and actuators. Together these two trends, electrification and increasing autonomy, can benefit each other and allow machines that are both safer and more efficient than the current ones, in terms of energy, costs and raw materials.
AcronymEnergy efficient machine perception /Kannala 31.12.2025
StatusActive
Effective start/end date01/01/202331/12/2025

Collaborative partners

  • Aalto University (lead)
  • Tampereen korkeakoulusäätiö sr (Joint applicant)
  • Suomen Akatemia

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