ULPEC H2020 Project

New upload


ULPEC H2020 Project

About ULPEC 

The long term goal of ULPEC is to develop advanced vision applications with ultra-low power requirements and ultra-low latency.

The output of the ULPEC project is a demonstrator connecting a neuromorphic event-based camera to a high speed ultra-low power consumption asynchronous visual data processing system (Spiking Neural Network with memristive synapses).                             

Although the ULPEC device aims to reach TRL 4, it is a highly application-oriented project: prospective use cases will be studied and an application roadmap will be developed, by considering interoperability for an integration in “systems of systems” as well as the definition of upper power consumption limits depending on future application.

The project consortium therefore includes an industrial end-user (Bosch), which will more particularly investigate autonomous and computer assisted driving.

Autonomous and computer assisted driving are indeed a major disruption in the transport and car manufacturing sector.

Vision and recognition of traffic event must be computed with very low latency (to improve security) and low power (to accommodate the power limited environment in a car, such as power budget and heat dissipation). 


January 2017 - December 2020

Project website


Social media

Twitter: https://twitter.com/ULPEC_H2020

LinkedIn:  www.linkedin.com/in/ulpecproject

Google+: https://plus.google.com/u/0/102371682888936829713


Read more

Curated by:
Curation policy:

At the moment, only ULPEC project participants can upload content to this collection.

February 8, 2018
Harvesting API:
OAI-PMH Interface

Want your upload to appear in this community?

  • Click the button above to upload straight to this community.
  • The community curator is notified, and will either accept or reject your upload (see community curation policy above).
  • If your upload is rejected by the curator, it will still be available on Zenodo, just not in this community.