Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Arien P. Sligar"'
Autor:
Ushemadzoro Chipengo, Arien P. Sligar, Stefano Mihai Canta, Markus Goldgruber, Hen Leibovich, Shawn Carpenter
Publikováno v:
IEEE Access, Vol 9, Pp 82597-82617 (2021)
Detection and classification of vulnerable road users (VRUs) such as pedestrians and cyclists is a key requirement for the realization of fully autonomous vehicles. Radar-based classification of VRUs can be achieved by exploiting differences in the m
Externí odkaz:
https://doaj.org/article/66e8bdf8264c4b1a9081a6c0e2b0c51c
Autor:
Arien P. Sligar
Publikováno v:
IEEE Access, Vol 8, Pp 51470-51476 (2020)
Safety critical systems in Advanced Driver Assistance Systems (ADAS) depend on multiple sensors to perceive the environment in which they operate. Radar sensors provide many advantages and complementary capabilities to other available sensors but are
Externí odkaz:
https://doaj.org/article/133d34a497d0436dbdd67bf16ae7ddb6
Autor:
Arien P. Sligar, Shawn Carpenter, Markus Goldgruber, Stefano M. Canta, Ushemadzoro Chipengo, Hen Leibovich
Publikováno v:
IEEE Access, Vol 9, Pp 82597-82617 (2021)
Detection and classification of vulnerable road users (VRUs) such as pedestrians and cyclists is a key requirement for the realization of fully autonomous vehicles. Radar-based classification of VRUs can be achieved by exploiting differences in the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c74d75a1848fe2df7fdf0ca4af431e6f
https://doi.org/10.1109/access.2021.3085985
https://doi.org/10.1109/access.2021.3085985
Publikováno v:
IEEE Access, Vol 8, Pp 160643-160652 (2020)
Automotive radar is one of the enabling technologies for advanced driver assistance systems (ADAS) and subsequently fully autonomous vehicles. Along with determining the range and velocity of targets with fairly high resolution, autonomous vehicles n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1de7fb3f1ba67f0ae0a5c42c1b91278
https://doi.org/10.1109/access.2020.3021362
https://doi.org/10.1109/access.2020.3021362