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Event-based Sensing and Computing(EBSC26)

Topic Leaders

  • Alexandre Marcireau, The University of Manchester
  • Arindam Basu, City University Hong Kong
  • Satyapreet Singh, Indian Institute of Science (IISc)

Goals

This work group aims to advance the development and application of neuromorphic sensors, including dynamic vision sensors (DVS) and event-based radar. By leveraging their inherent advantages, such as low power consumption, low data rate, and high dynamic range, we seek to impact a wide range of application domains.

Our goals include improving neuromorphic cameras for high-speed, low-latency vision in robotics and developing radar systems with superior object detection and environmental sensing capabilities.

By fostering collaboration between academia and industry, offering hands-on project experience, and organizing workshops and seminars, we aim to accelerate the commercialization of neuromorphic technologies and make a strong contribution to the scientific community.

Broad Project Themes

  • Event-based algorithms
  • Deployment of event-based system for robotics applications.
  • Development of radar processing pipelines and systems for highly accurate localization and classification tasks.

Proposed Projects

  • Saliency detection using neuromorphic event-based cameras for robotics applications.
  • Real-time pipeline for Radar processing of human signatures to enable highly accurate localization and detection.
  • Collaborative neuromorphic sensing and processing projects in partnership with Innatera.
  • More Project Ideas will be added to this list soon.