A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)
author
Ersü, Can
Petlenkov, Eduard
Janson, Karl
statement of authorship
Can Ersü, Eduard Petlenkov and Karl Janson
source
Sensors
publisher
MDPI
journal volume number month
vol. 24, 23
year of publication
2024
pages
art. 7807
url
https://doi.org/10.3390/s24237807
subject term
tehisõpe
navigatsioon
radarid
mehitamata maismaasõidukid
andurid
keyword
machine learning
navigation
object detection
offroad
radar
UGV
ISSN
1424-8220
notes
Bibliogr.: 64 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/130124
https://www.scopus.com/pages/publications/85211824200?inward
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SENSORS-BASEL&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001377902500001
category (general)
Physics and astronomy
Füüsika ja astronoomia
Engineering
Tehnika
Chemistry
Keemia
Biochemistry, genetics and molecular biology
Biokeemia, geneetika ja molekulaarbioloogia
category (sub)
Physics and astronomy. Instrumentation
Füüsika ja astronoomia. Instrumentatsioon
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Physics and astronomy. Atomic and molecular physics, and optics
Füüsika ja astronoomia. Aatomi- ja molekulaarfüüsika ning optika
Chemistry. Analytical chemistry
Keemia. Analüütiline keemia
Computer science. Information systems
Arvutiteadus. Infosüsteemid
Biochemistry, genetics and molecular biology. Biochemistry
Biokeemia, geneetika ja molekulaarbioloogia. Biokeemia
quartile
Q1
TalTech department
arvutisüsteemide instituut
language
inglise
Reserch Group
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