Data from: Using collision cones to assess biological deconfliction methods

Natalie L. Brace, Tyson L. Hedrick, Diane H. Theriault, Nathan W. Fuller, Zheng Wu, Margrit Betke, Julia K. Parrish, Daniel Grünbaum & Kristi A. Morgansen
Biological systems consistently outperform autonomous systems governed by engineered algorithms in their ability to reactively avoid collisions. To better understand this discrepancy, a collision avoidance algorithm was applied to frames of digitized video trajectory data from bats, swallows and fish (Myotis velifer, Petrochelidon pyrrhonota and Danio aequipinnatus). Information available from visual cues, specifically relative position and velocity, was provided to the algorithm which used this information to define collision cones that allowed the algorithm to...
1 citation reported since publication in 2017.
94 views reported since publication in 2017.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
32 downloads reported since publication in 2017.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?