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JRM Vol.33 No.3 pp. 556-563
doi: 10.20965/jrm.2021.p0556
(2021)

Paper:

Three-Dimensional Trajectory Construction and Observation of Group Behavior of Wild Bats During Cave Emergence

Emyo Fujioka*1, Mika Fukushiro*2, Kazusa Ushio*3, Kyosuke Kohyama*4, Hitoshi Habe*5, and Shizuko Hiryu*3

*1Organization for Research Initiatives and Development, Doshisha University
1-3 Tatara-miyakodani, Kyotanabe, Kyoto 610-0321, Japan

*2Graduate School of Life and Medical Sciences, Doshisha University
1-3 Tatara-miyakodani, Kyotanabe, Kyoto 610-0321, Japan

*3Faculty of Life and Medical Sciences, Doshisha University
1-3 Tatara-miyakodani, Kyotanabe, Kyoto 610-0321, Japan

*4Graduate School of Science and Engineering, Kindai University
3-4-1 Kowakae, Higashiosaka, Osaka 577-8502, Japan

*5Faculty of Science and Engineering, Kindai University
3-4-1 Kowakae, Higashiosaka, Osaka 577-8502, Japan

Received:
January 8, 2021
Accepted:
February 26, 2021
Published:
June 20, 2021
Keywords:
echolocation, bat, bio-sonar, collective behavior, trajectory tracking
Abstract
Three-Dimensional Trajectory Construction and Observation of Group Behavior of Wild Bats During Cave Emergence

Stereo-camera recording and automatic tracking

Echolocating bats perceive the surrounding environment by processing echoes of their ultrasound emissions. Echolocation enables bats to avoid colliding with external objects in complete darkness. In this study, we sought to develop a method for measuring the collective behavior of echolocating bats (Miniopterus fuliginosus) emerging from their roost cave using high-sensitivity stereo-camera recording. First, we developed an experimental system to reconstruct the three-dimensional (3D) flight trajectories of bats emerging from the roost for nightly foraging. Next, we developed a method to automatically track the 3D flight paths of individual bats so that quantitative estimation of the population in proportion to the behavioral classification could be conducted. Because the classification of behavior and the estimation of population size are ecologically important indices, the method established in this study will enable quantitative investigation of how individual bats efficiently leave the roost while avoiding colliding with each other during group movement and how the group behavior of bats changes according to weather and environmental conditions. Such high-precision detection and tracking will contribute to the elucidation of the algorithm of group behavior control in creatures that move in groups together in three dimensions, such as birds.

Cite this article as:
Emyo Fujioka, Mika Fukushiro, Kazusa Ushio, Kyosuke Kohyama, Hitoshi Habe, and Shizuko Hiryu, “Three-Dimensional Trajectory Construction and Observation of Group Behavior of Wild Bats During Cave Emergence,” J. Robot. Mechatron., Vol.33, No.3, pp. 556-563, 2021.
Data files:
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Last updated on Aug. 03, 2021