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Implementation of a Perception Module for Smart Mobility Applications in Eclipse MOSAIC

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Eclipse MOSAIC gains an object-level perception module that returns detected vehicles, traffic lights and signs instead of raw sensors, implemented in the Application Simulator and callable via TraCI or Libsumo. It uses spatial indexing (grid and quadtree) for fast field-of-view queries, evaluates computational performance on a Berlin scenario, finds the grid slightly faster than quadtree, and reports Libsumo is faster than TraCI. Code and module are available on GitHub.

AI-written summary · about

  1. 0:00Start
  2. 0:57Introduction
  3. 3:04Applications based on Object Detection
  4. 9:11Perception in MOSAIC Apps
  5. 11:08Perception Index and Module in MOSAIC Application
  6. 12:58Solution (Coupling with SUMO)
  7. 14:45Performance Evaluation (Setup)
  8. 16:34Spatial Index Performance (Grid vs. Quad-tree)
  9. 17:05SUMO Coupling Methods (TraCl vs. LibSumo)
  10. 17:52Conclusions
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