Title
A Novel Multi-vision Sensor Dataset for Insect-Inspired Outdoor Autonomous Navigation
Author
Verheyen, Jan K.N. (Student TU Delft)
Dupeyroux, J.J.G. (TU Delft Control & Simulation) 
de Croon, G.C.H.E. (TU Delft Control & Simulation)
Contributor
Hunt, Alexander (editor)
Vouloutsi, Vasiliki (editor)
Moses, Kenneth (editor)
Quinn, Roger (editor)
Mura, Anna (editor)
Prescott, Tony (editor)
Verschure, Paul F. (editor)
Date
2022
Abstract
Insects have—over millions of years of evolution—perfected many of the systems that roboticists aim to achieve; they can swiftly and robustly navigate through different environments under various conditions while at the same time being highly energy efficient. To reach this level of performance and efficiency, one might want to look at and take inspiration from how these insects achieve their feats. Currently, no dataset exists that allows bio-inspired navigation models to be evaluated over long >100 m real-life routes. We present a novel dataset containing omnidirectional event vision, frame-based vision, depth frames, inertial measurement (IMU) readings, and centimeter-accurate GNSS positioning over kilometer long stretches in and around the TUDelft campus. The dataset is used to evaluate familiarity-based insect-inspired neural navigation models on their performance over longer sequences. It demonstrates that current scene familiarity models are not suited for long-ranged navigation, at least not in their current form.
Subject
Event-based camera
GNSS
GPS
Long-range navigation
Neuromorphic systems
RGB Camera
To reference this document use:
http://resolver.tudelft.nl/uuid:f60a4d00-d79a-4b75-9bdb-e427f3e8328b
DOI
https://doi.org/10.1007/978-3-031-20470-8_28
Publisher
Springer
Embargo date
2023-07-01
ISBN
9783031204692
Source
Biomimetic and Biohybrid Systems - 11th International Conference, Living Machines 2022, Proceedings
Event
11th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022, 2022-07-19 → 2022-07-22, Virtual, Online
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13548 LNAI
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2022 Jan K.N. Verheyen, J.J.G. Dupeyroux, G.C.H.E. de Croon