Literature DB >> 31907314

Bioinspired sonar reflectors as guiding beacons for autonomous navigation.

Ralph Simon1, Stefan Rupitsch2, Markus Baumann2, Huan Wu2, Herbert Peremans3, Jan Steckel4,5.   

Abstract

Sonar sensors are universally applied in autonomous vehicles such as robots and driverless cars as they are inexpensive, energy-efficient, and provide accurate range measurements; however, they have some limitations. Their measurements can lead to ambiguous estimates and echo clutter can hamper target detection. In nature, echolocating bats experience similar problems when searching for food, especially if their food source is close to vegetation, as is the case for gleaning bats and nectar-feeding bats. However, nature has come up with solutions to overcome clutter problems and acoustically guide bats. Several bat-pollinated plants have evolved specially shaped floral parts that act as sonar reflectors, making the plants acoustically conspicuous. Here we show that artificial sonar beacons inspired by floral shapes streamline the navigation efficacy of sonar-guided robot systems. We developed floral-inspired reflector forms and demonstrate their functionality in 2 proof-of-principle experiments. First we show that the reflectors are easily recognized among dense clutter, and second we show that it is possible to discern different reflector shapes and use this identification to guide a robot through an unfamiliar environment. Bioinspired sonar reflectors could have a wide range of applications that could significantly advance sonar-guided systems.

Keywords:  autonomous navigation; bioinspired sonar; echolocation; robotics; sonar landmarks

Year:  2020        PMID: 31907314      PMCID: PMC6983391          DOI: 10.1073/pnas.1909890117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Echoes of bat-pollinated bell-shaped flowers: conspicuous for nectar-feeding bats?

Authors:  Dagmar v Helversen Dv; Marc W Holderied; Otto v Helversen Ov
Journal:  J Exp Biol       Date:  2003-03       Impact factor: 3.312

2.  Object recognition by echolocation: a nectar-feeding bat exploiting the flowers of a rain forest vine.

Authors:  D von Helversen; O von Helversen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-04-24       Impact factor: 1.836

3.  Object classification by echolocation in nectar feeding bats: size-independent generalization of shape.

Authors:  D von Helversen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-04-21       Impact factor: 1.836

4.  Multi-column deep neural network for traffic sign classification.

Authors:  Dan Cireşan; Ueli Meier; Jonathan Masci; Jürgen Schmidhuber
Journal:  Neural Netw       Date:  2012-02-14

5.  Sonar detection of jittering real targets in a free-flying bat.

Authors:  Holger R Goerlitz; Cornelia Geberl; Lutz Wiegrebe
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

6.  An autocorrelation model of bat sonar.

Authors:  Lutz Wiegrebe
Journal:  Biol Cybern       Date:  2008-05-20       Impact factor: 2.086

7.  Floral acoustics: conspicuous echoes of a dish-shaped leaf attract bat pollinators.

Authors:  Ralph Simon; Marc W Holderied; Corinna U Koch; Otto von Helversen
Journal:  Science       Date:  2011-07-29       Impact factor: 47.728

8.  Passive underwater acoustic markers using Bragg backscattering.

Authors:  Prakhar Srivastava; Brendan Nichols; Karim G Sabra
Journal:  J Acoust Soc Am       Date:  2017-12       Impact factor: 1.840

9.  Plant classification from bat-like echolocation signals.

Authors:  Yossi Yovel; Matthias Otto Franz; Peter Stilz; Hans-Ulrich Schnitzler
Journal:  PLoS Comput Biol       Date:  2008-03-21       Impact factor: 4.475

10.  Classification of Sonar Targets in Air: A Neural Network Approach.

Authors:  Patrick K Kroh; Ralph Simon; Stefan J Rupitsch
Journal:  Sensors (Basel)       Date:  2019-03-07       Impact factor: 3.576

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  3 in total

1.  Real-Time Sonar Fusion for Layered Navigation Controller.

Authors:  Wouter Jansen; Dennis Laurijssen; Jan Steckel
Journal:  Sensors (Basel)       Date:  2022-04-19       Impact factor: 3.576

2.  Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks.

Authors:  Ralph Simon; Karol Bakunowski; Angel Eduardo Reyes-Vasques; Marco Tschapka; Mirjam Knörnschild; Jan Steckel; Dan Stowell
Journal:  PLoS Comput Biol       Date:  2021-12-16       Impact factor: 4.475

3.  Passive Landmark Geometry Optimization and Evaluation for Reliable Autonomous Navigation in Mining Tunnels Using 2D Lidars.

Authors:  Miguel Torres-Torriti; Paola Nazate-Burgos; Fabián Paredes-Lizama; Javier Guevara; Fernando Auat Cheein
Journal:  Sensors (Basel)       Date:  2022-04-15       Impact factor: 3.576

  3 in total

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