A new bionic lateral line system applied to pitch motion parameters perception for autonomous underwater vehicles

Fish can sense their surrounding environment by their lateral line system (LLS). In order to understand the extent to which information can be derived via LLS and to improve the adaptive ability of autonomous underwater vehicles (AUVs), a novel strategy is presented, which directly uses the information of the flow field to distinguish the object obstacle. The flow fields around different targets are obtained by the numerical method, and the pressure signal on the virtual lateral line is studied based on the chaos theory and fast Fourier transform (FFT). The compounded parametric features, including the chaotic features (CF) and the power spectrum density (PSD), which is named CF-PSD, are used to recognize the kinds of obstacles. During the research of CF, the largest Lyapunov exponent (LLE), saturated correlation dimension (SCD), and Kolmogorov entropy (KE) are taken into account, and PSD features include the number, amplitude, and position of wave crests. A two-step support vector machine (SVM) is built and used to classify the shapes and incidence angles based on the CF-PSD. It is demonstrated that the flow fields around triangular and square targets are chaotic systems, and the new findings indicate that the object obstacle can be recognized directly based on the information of the flow field, and the consideration of a parametric feature extraction method (CF-PSD) results in considerably higher classification success.

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Flow Field Perception of a Moving Carrier Based on an Artificial Lateral Line System

Sensors ◽

10.3390/s20051512 ◽

2020 ◽

Vol 20 (5) ◽

pp. 1512 ◽

Cited By ~ 1

Author(s):

Guijie Liu ◽

Huanhuan Hao ◽

Tingting Yang ◽

Shuikuan Liu ◽

Mengmeng Wang ◽

...

Keyword(s):

Flow Field ◽

Lateral Line ◽

Pressure Difference ◽

Autonomous Underwater Vehicles ◽

Fluid Velocity ◽

Engineering Application ◽

Lateral Line System ◽

Flow Angle ◽

Line System ◽

Fluid Environment

At present, autonomous underwater vehicles (AUVs) cannot perceive local environments in complex marine environments, where fish can obtain hydrodynamic information about the surrounding environment through a lateral line. Inspired by this biological function, an artificial lateral line system (ALLS) was built on a moving bionic carrier using the pressure sensor in this paper. When the carrier operated with different speeds in the flow field, the pressure distribution characteristics surrounding the carrier were analyzed by numerical simulation, where the effect of the flow angle between the fluid velocity direction and the carrier navigation direction was considered. The flume experiment was carried out in accordance with the simulation conditions, and the analysis results of the experiment were consistent with those in the simulation. The relationship between pressure and fluid velocity was established by a fitting method. Subsequently, the pressure difference method was investigated to establish a relationship model between the pressure difference on both sides of the carrier and the flow angle. Finally, a back propagation neural network model was used to predict the fluid velocity, flow angle, and carrier speed successfully in the unknown fluid environment. The local fluid environment perception by moving carrier carrying ALLS was studied which may promote the engineering application of the artificial lateral line in the local perception, positioning, and navigation on AUVs.

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Measurement of Environmental Features by an Artificial Lateral Line System for Biomimetic Underwater Vehicles

The Abstracts of the international conference on advanced mechatronics toward evolutionary fusion of IT and mechatronics ICAM ◽

10.1299/jsmeicam.2010.5.331 ◽

2010 ◽

Vol 2010.5 (0) ◽

pp. 331-336

Author(s):

Jen-Hwa Guo ◽

Ling-Ji Mu ◽

Daniel Martinez S. ◽

Shih-Hua Huang ◽

Ming-Yi Jian ◽

...

Keyword(s):

Lateral Line ◽

Underwater Vehicles ◽

Lateral Line System ◽

Line System ◽

Environmental Features

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Lateral line system

AccessScience ◽

10.1036/1097-8542.757316 ◽

2015 ◽

Keyword(s):

Lateral Line ◽

Lateral Line System ◽

Line System

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The lateral line system and its innervation in the Japanese eel Anguilla japonica (Teleostei: Elopomorpha: Anguillidae)

Journal of Morphology ◽

10.1002/jmor.21353 ◽

2021 ◽

Author(s):

Masanori Nakae ◽

Mari Kuroki ◽

Mao Sato ◽

Kunio Sasaki

Keyword(s):

Lateral Line ◽

Anguilla Japonica ◽

Japanese Eel ◽

Lateral Line System ◽

Line System

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Frequency response properties of primary afferent neurons in the posterior lateral line system of larval zebrafish

Journal of Neurophysiology ◽

10.1152/jn.00414.2014 ◽

2015 ◽

Vol 113 (2) ◽

pp. 657-668 ◽

Cited By ~ 9

Author(s):

Rafael Levi ◽

Otar Akanyeti ◽

Aleksander Ballo ◽

James C. Liao

Keyword(s):

Lateral Line ◽

Sine Wave ◽

Afferent Neuron ◽

Lateral Line System ◽

Afferent Neurons ◽

Primary Afferent Neurons ◽

Primary Afferent ◽

Line System ◽

Response Properties ◽

Larval Zebrafish

The ability of fishes to detect water flow with the neuromasts of their lateral line system depends on the physiology of afferent neurons as well as the hydrodynamic environment. Using larval zebrafish ( Danio rerio), we measured the basic response properties of primary afferent neurons to mechanical deflections of individual superficial neuromasts. We used two types of stimulation protocols. First, we used sine wave stimulation to characterize the response properties of the afferent neurons. The average frequency-response curve was flat across stimulation frequencies between 0 and 100 Hz, matching the filtering properties of a displacement detector. Spike rate increased asymptotically with frequency, and phase locking was maximal between 10 and 60 Hz. Second, we used pulse train stimulation to analyze the maximum spike rate capabilities. We found that afferent neurons could generate up to 80 spikes/s and could follow a pulse train stimulation rate of up to 40 pulses/s in a reliable and precise manner. Both sine wave and pulse stimulation protocols indicate that an afferent neuron can maintain their evoked activity for longer durations at low stimulation frequencies than at high frequencies. We found one type of afferent neuron based on spontaneous activity patterns and discovered a correlation between the level of spontaneous and evoked activity. Overall, our results establish the baseline response properties of lateral line primary afferent neurons in larval zebrafish, which is a crucial step in understanding how vertebrate mechanoreceptive systems sense and subsequently process information from the environment.

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Diversity and sexual dimorphism in the head lateral line system in North Sea populations of threespine sticklebacks, Gasterosteus aculeatus (Teleostei: Gasterosteidae)

Zoomorphology ◽

10.1007/s00435-020-00513-1 ◽

2020 ◽

Author(s):

Harald Ahnelt ◽

David Ramler ◽

Maria Ø. Madsen ◽

Lasse F. Jensen ◽

Sonja Windhager

Keyword(s):

Sexual Dimorphism ◽

North Sea ◽

Lateral Line ◽

Gasterosteus Aculeatus ◽

Sensory System ◽

Threespine Stickleback ◽

Lateral Line System ◽

Line System ◽

Marine Population ◽

Threespine Sticklebacks

AbstractThe mechanosensory lateral line of fishes is a flow sensing system and supports a number of behaviors, e.g. prey detection, schooling or position holding in water currents. Differences in the neuromast pattern of this sensory system reflect adaptation to divergent ecological constraints. The threespine stickleback, Gasterosteus aculeatus, is known for its ecological plasticity resulting in three major ecotypes, a marine type, a migrating anadromous type and a resident freshwater type. We provide the first comparative study of the pattern of the head lateral line system of North Sea populations representing these three ecotypes including a brackish spawning population. We found no distinct difference in the pattern of the head lateral line system between the three ecotypes but significant differences in neuromast numbers. The anadromous and the brackish populations had distinctly less neuromasts than their freshwater and marine conspecifics. This difference in neuromast number between marine and anadromous threespine stickleback points to differences in swimming behavior. We also found sexual dimorphism in neuromast number with males having more neuromasts than females in the anadromous, brackish and the freshwater populations. But no such dimorphism occurred in the marine population. Our results suggest that the head lateral line of the three ecotypes is under divergent hydrodynamic constraints. Additionally, sexual dimorphism points to divergent niche partitioning of males and females in the anadromous and freshwater but not in the marine populations. Our findings imply careful sampling as an important prerequisite to discern especially between anadromous and marine threespine sticklebacks.

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