3 papers
eess.SP2025
An Asynchronous Mixed-Signal Resonate-and-Fire Neuron
Giuseppe Leo, Paolo Gibertini, Irem Ilter +3
Analog computing at the edge is an emerging strategy to limit data storage and transmission requirements, as well as energy consumption, and its practical implementation is in its…
eess.SP2025
A scalable event-driven spatiotemporal feature extraction circuit
Hugh Greatorex, Michele Mastella, Ole Richter +4
Event-driven sensors, which produce data only when there is a change in the input signal, are increasingly used in applications that require low-latency and low-power real-time sen…
cs.CV2025
Event-based vision for egomotion estimation using precise event timing
Hugh Greatorex, Michele Mastella, Madison Cotteret +2
Egomotion estimation is crucial for applications such as autonomous navigation and robotics, where accurate and real-time motion tracking is required. However, traditional methods…