Searching for Features in Laser Rangefinder Scan via Combination of Local Curvature Scale and Human Obstacles Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F13%3A00421686" target="_blank" >RIV/61388998:_____/13:00421686 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Searching for Features in Laser Rangefinder Scan via Combination of Local Curvature Scale and Human Obstacles Detection
Original language description
Detection of reliable features in sensor data is the base for most localization and SLAM algorithms. The paper presents a combination of local curvature scale that enables to easily find environment features such as corners and edges in laser rangefinderscan data with human obstacles detection, used to extract such dynamic obstacles reading from the scan thus improving the robustness of feature detection.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mechatronics 2013
ISBN
978-3-319-02293-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
599-606
Publisher name
Springer
Place of publication
Cham
Event location
Brno
Event date
Oct 7, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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