About.
ULPEC is a research project funded under the action “Smart System Integration†(SSI) of the European Commission Horizon 2020 framework programme.
Starting in January 2017 and led by the University of Bordeaux (IMS laboratory), ULPEC brings together eight European groups working in the fields of microelectronics, materials, modelling and simulations.
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).
This brain-inspired technology should then be used for cases such as the vision and recognition of traffic events (signs, obstacles like other cars, persons, etc.) which is a major challenge for autonomous and computer assisted driving in the transport and car manufacturing sector.
Beyond the field of transportation, the long-term aim of the project is to cater for all advanced vision applications with ultra-low power requirements and latency, as well as for data processing in hardware native neural networks.
“By providing an innovative and polyvalent solution for embedded vision systems, ULPEC technology will lead the way for the future of memristive neuromorphic systems.†(Dr Sylvain Saïghi, Project Investigator for ULPEC)
Information on ULPEC as published on the European Commission’s website (CORDIS)
Latest news.
see the project timelineLatest
publications.
15 January 2022
ULPEC Fact Sheet #2: Event-based Vision Systems and their Possible Role in the EU Green Deal
Miscellaneous
Read15 January 2022
ULPEC Fact Sheet #1: Event-based Vision for Automated Driving – A Promising Technology for the Future
Miscellaneous
Read28 August 2019
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
Conference Proceedings with Peer Review
Read28 August 2019
Verilog-A model of ferroelectric memristors dedicated to neuromorphic design
Journals with peer review
Read28 August 2019
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
Conference Proceedings with Peer Review
Read25 October 2018
Deep Learning With Spiking Neurons: Opportunities and Challenges
Journals with peer review
Read