Science Robotics

Supplementary Materials

The PDF file includes:

  • Fig. S1. Monodimensional example to explain the working principle of event-based detection of moving obstacles.
  • Fig. S2. Time statistics of the events belonging to static and dynamic regions.
  • Fig. S3. The quadrotor platform we used in our outdoor experiments.
  • Fig. S4. Ego-motion compensation computation time as function of the number of events.
  • Fig. S5. Clustering computation time as function of the pixels count.
  • Fig. S6. Detection of objects having different sizes and shapes.
  • Fig. S7. Detection of multiple objects simultaneously.
  • Fig. S8. Sequence of detection.
  • Fig. S9. Obstacle ellipsoid.
  • Fig. S10. Repulsive potential.
  • Fig. S11. Attractive potential.
  • References (56, 57)

Download PDF

Other Supplementary Material for this manuscript includes the following:

  • Movie S1 (.mp4 format). Outdoor dynamic experiments.
  • Movie S2 (.mp4 format). Explanation of the working principle of the event-based detection algorithm.

Files in this Data Supplement: