Lidar based object detection near vehicle
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00312807" target="_blank" >RIV/68407700:21260/17:00312807 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7973852/" target="_blank" >http://ieeexplore.ieee.org/document/7973852/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973852" target="_blank" >10.1109/SCSP.2017.7973852</a>
Alternative languages
Result language
angličtina
Original language name
Lidar based object detection near vehicle
Original language description
The paper presents a proposed sensing system for vehicles based on lidar. Three short range lidars where used to fuse the measurement data into a point set in which objects in front of the vehicle could be detected via proposed algorithm for clustering the point set. The lidars are able to measure distance up to the 40 meters, making the system suitable for the urban environments. The lidars were mounted onto the stepper motors. compactRIO (cRIO) controlled the communication with lidars and movement of the motors, also the algorithm ran on the real-time part of the cRIO. The algorithm is built on the idea of the nearest neighbour approach and shows promising results on the synthetic data.
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
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TE01020020" target="_blank" >TE01020020: Josef Bozek Competence Centre for Automotive Industry</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 Smart Cities Symposium Prague (SCSP) - IEEE PROCEEDINGS
ISBN
978-1-5386-3825-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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