Adaptive Image Processing Methods for Outdoor Autonomous Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332095" target="_blank" >RIV/68407700:21230/19:00332095 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-14984-0_34" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14984-0_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14984-0_34" target="_blank" >10.1007/978-3-030-14984-0_34</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Image Processing Methods for Outdoor Autonomous Vehicles
Original language description
This paper concerns adaptive image processing for visual teach-and-repeat navigation systems of autonomous vehicles operating outdoors. The robustness and the accuracy of these systems rely on their ability to extract relevant information from the on-board camera images, which is then used for the autonomous navigation and the map building. In this paper, we present methods that allow an image-based navigation system to adapt to a varying appearance of outdoor environments caused by dynamic illumination conditions and naturally occurring environment changes. In the performed experiments, we demonstrate that the adaptive and the learning methods for camera parameter control, image feature extraction and environment map refinement allow autonomous vehicles to operate in real, changing world for extended periods of time.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ17-27006Y" target="_blank" >GJ17-27006Y: Spatio-temporal representations for life-long mobile robot navigation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modelling and Simulation for Autonomous Systems
ISBN
978-3-030-14983-3
ISSN
0302-9743
e-ISSN
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Number of pages
21
Pages from-to
456-476
Publisher name
Springer
Place of publication
Basel
Event location
Praha
Event date
Oct 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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