TY - DATA T1 - Modeling visual-based pitch, lift and speed control strategies in hoverflies PY - 2018/01/23 AU - Roman Goulard AU - Jean-Louis Vercher AU - Stéphane Viollet UR - https://plos.figshare.com/articles/dataset/Modeling_visual-based_pitch_lift_and_speed_control_strategies_in_hoverflies/5815845 DO - 10.1371/journal.pcbi.1005894 L4 - https://ndownloader.figshare.com/files/10288512 L4 - https://ndownloader.figshare.com/files/10288515 L4 - https://ndownloader.figshare.com/files/10288527 L4 - https://ndownloader.figshare.com/files/10288536 L4 - https://ndownloader.figshare.com/files/10288545 L4 - https://ndownloader.figshare.com/files/10288554 KW - flow-based control KW - modeling visual-based pitch KW - 3 D KW - Free fall behavior analyses KW - anti-crash response KW - stereo camera KW - closed-loop control KW - visual-based feedback control KW - graviceptive cues KW - speed control strategies KW - Behavioural data KW - pitch orientation N2 - To avoid crashing onto the floor, a free falling fly needs to trigger its wingbeats quickly and control the orientation of its thrust accurately and swiftly to stabilize its pitch and hence its speed. Behavioural data have suggested that the vertical optic flow produced by the fall and crossing the visual field plays a key role in this anti-crash response. Free fall behavior analyses have also suggested that flying insect may not rely on graviception to stabilize their flight. Based on these two assumptions, we have developed a model which accounts for hoverflies´ position and pitch orientation recorded in 3D with a fast stereo camera during experimental free falls. Our dynamic model shows that optic flow-based control combined with closed-loop control of the pitch suffice to stabilize the flight properly. In addition, our model sheds a new light on the visual-based feedback control of fly´s pitch, lift and thrust. Since graviceptive cues are possibly not used by flying insects, the use of a vertical reference to control the pitch is discussed, based on the results obtained on a complete dynamic model of a virtual fly falling in a textured corridor. This model would provide a useful tool for understanding more clearly how insects may or not estimate their absolute attitude. ER -