From imaging algorithms to quantum methods Seminar

Europe/Warsaw
https://cern.zoom.us/j/66151941204?pwd=n7upvvZYibexBhbtyn5kvTpy36L0Wo.1 (Zoom)

https://cern.zoom.us/j/66151941204?pwd=n7upvvZYibexBhbtyn5kvTpy36L0Wo.1

Zoom

Konrad Klimaszewski (NCBJ), Wojciech Krzemien (NCBJ)
    • 10:00 11:00
      Multi-Object Tracking and Label Fusion in Automotive Sensor Data 1h

      Modern autonomous vehicles utilize sophisticated sensor suites to perceive their environment. This work performs object detection and tracking to extract time-series data from onboard camera images and Lidar point clouds. We propose a fusion method to match labels from these heterogeneous sensors, aiming to resolve discrepancies and provide more stable, long-term tracking. We formulate this multi-sensor data association as a Quadratic Unconstrained Binary Optimization (QUBO) problem. This approach allows the matching process to be solved efficiently using quantum annealers, a hardware-accelerated optimization currently under implementation.

      Speaker: Piotr Kalaczyński (CDSI AGH / CAMK PAN)
    • 11:00 11:30
      Discussion 30m
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