Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Hexuan Li"'
Who Is More Eager to Relocate to a Sustainable Retirement Village? Male or Female, Young or Elderly.
Publikováno v:
SAGE Open. Jan-Mar2024, Vol. 14 Issue 1, p1-14. 14p.
Publikováno v:
Vehicles, Vol 5, Iss 2, Pp 718-731 (2023)
With the increasing complexity of automated driving features, it is crucial to adopt innovative approaches that combine hardware and software to validate prototype vehicles in the early stages of development. This article demonstrates the effectivene
Externí odkaz:
https://doaj.org/article/d10d7105a41c4cb580add3ca1bc035b4
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12898 (2023)
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle’s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characterist
Externí odkaz:
https://doaj.org/article/153afa0c5cac4adeace2d724998c9c54
Autor:
Demin Nalic, Hexuan Li, Arno Eichberger, Christoph Wellershaus, Aleksa Pandurevic, Branko Rogic
Publikováno v:
IEEE Access, Vol 8, Pp 224974-224984 (2020)
Classical approaches for testing of automated driving systems (ADS) of SAE levels 1 and 2 were based on defined scenarios with specific maneuvers, depending on the function under test. For ADS of SAE level 3+, the scenario space is infinite and calli
Externí odkaz:
https://doaj.org/article/0ef76515ff77452e865b2733ef519387
Publikováno v:
IEEE Sensors Journal. 23:11117-11124
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af195b8ceed7a61547c77ee82c7d4a22
https://doi.org/10.1109/jsen.2022.3223765
https://doi.org/10.1109/jsen.2022.3223765
Publikováno v:
Sensors, Vol 22, Iss 15, p 5693 (2022)
Radar sensors were among the first perceptual sensors used for automated driving. Although several other technologies such as lidar, camera, and ultrasonic sensors are available, radar sensors have maintained and will continue to maintain their impor
Externí odkaz:
https://doaj.org/article/5e6a8e7317f04b19806beddba7b19f11
Autor:
Tomislav Mihalj, Hexuan Li, Dario Babić, Cornelia Lex, Mathieu Jeudy, Goran Zovak, Darko Babić, Arno Eichberger
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3477 (2022)
Automated driving can no longer be referred to as hype or science fiction but rather a technology that has been gradually introduced to the market. The recent activities of regulatory bodies and the market penetration of automated driving systems (AD
Externí odkaz:
https://doaj.org/article/b1ec9e9415844a919e1750a9c2ab55c2
Publikováno v:
Energies, Vol 15, Iss 6, p 2008 (2022)
There is consensus in industry and academia that Highly Automated Vehicles (HAV) and Connected Automated Vehicles (CAV) will be launched into the market in the near future due to emerging autonomous driving technology. In this paper, a mixed traffic
Externí odkaz:
https://doaj.org/article/387276d0036d4454a573eccb88e397e8
Autor:
Hexuan Li, Kanuric Tarik, Sadegh Arefnezhad, Zoltan Ferenc Magosi, Christoph Wellershaus, Darko Babic, Dario Babic, Viktor Tihanyi, Arno Eichberger, Marcel Carsten Baunach
Publikováno v:
Energies, Vol 15, Iss 1, p 194 (2021)
With the development of autonomous driving technology, the requirements for machine perception have increased significantly. In particular, camera-based lane detection plays an essential role in autonomous vehicle trajectory planning. However, lane d
Externí odkaz:
https://doaj.org/article/961541ef2fe64bd0b5e53614858329d3
Publikováno v:
Vehicles; Volume 5; Issue 2; Pages: 718-731
With the increasing complexity of automated driving features, it is crucial to adopt innovative approaches that combine hardware and software to validate prototype vehicles in the early stages of development. This article demonstrates the effectivene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e06ea3cb781fbc9846c33b66c71ab88c