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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
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Physics and astronomy
Engineering
Chemistry
Biochemistry, genetics and molecular biology
category (sub)
Physics and astronomy. Instrumentation
Engineering. Electrical and electronic engineering
Physics and astronomy. Atomic and molecular physics, and optics
Chemistry. Analytical chemistry
Computer science. Information systems
Biochemistry, genetics and molecular biology. Biochemistry
TalTech department
arvutisüsteemide instituut
language
inglise
Ersü, C., Petlenkov, E., Janson, K. A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs) // Sensors (2024) vol. 24, 23, art. 7807. https://doi.org/10.3390/s24237807