Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Yanlei Gu"'
Publikováno v:
International Journal of Automotive Engineering, Vol 12, Iss 4, Pp 125-133 (2021)
Understanding the level of environmental risk using vehicle-mounted camera traffic scenes is useful in advanced driver assistance systems (ADAS) to improve vehicle safety. We propose a fast, memory-efficient computer vision based environmental risk p
Externí odkaz:
https://doaj.org/article/1d3db9f5c7924d349ba73c5c33a34b7f
Publikováno v:
Sensors, Vol 23, Iss 6, p 3096 (2023)
It is crucial for an autonomous vehicle to predict cyclist behavior before decision-making. When a cyclist is on real traffic roads, his or her body orientation indicates the current moving directions, and his or her head orientation indicates his or
Externí odkaz:
https://doaj.org/article/3cc6150b118c47ee85f78e888f54a22e
Publikováno v:
IATSS Research, Vol 43, Iss 1, Pp 1-13 (2019)
Accurate vehicle self-localization is significant for autonomous driving. The localization techniques based on Global Navigation Satellite System (GNSS) cannot achieve the required accuracy in urban canyons. On the other hand, simultaneous localizati
Externí odkaz:
https://doaj.org/article/51c627634e5f4356ba4321d2633311fb
Publikováno v:
IATSS Research, Vol 42, Iss 4, Pp 248-258 (2018)
Today's urban road transport systems experience increasing congestion that threatens the environment and transport efficiency. Global Navigation Satellite System (GNSS)-based vehicle probe technology has been proposed as an effective means for monito
Externí odkaz:
https://doaj.org/article/b899bc65904f45169fa6c5caab238fad
Publikováno v:
International Journal of Automotive Engineering, Vol 9, Iss 2, Pp 79-85 (2018)
Accurate self-localization is a critical problem in the autonomous driving system. In this paper, we proposed a localization system which integrates stereo camera and three-dimensional city model containing building and road mark information. The ste
Externí odkaz:
https://doaj.org/article/7147b2216c9744089fbef66d337f2875
Publikováno v:
IEEE Access, Vol 6, Pp 49850-49867 (2018)
Recently, autonomous vehicle’s self-localization based on the matching of laser scanner data to the high definition (HD) map become more popular due to the availability of HD map and price down of light detection and ranging technologies. Many type
Externí odkaz:
https://doaj.org/article/5c021b09561641d7b84547ab964b9ab2
Publikováno v:
IATSS Research, Vol 41, Iss 3, Pp 129-139 (2017)
Highly automated and fully autonomous vehicles are much more likely to be accepted if they react in the same way as human drivers do, especially in a hybrid traffic situation, which allows autonomous vehicles and human-driven vehicles to share the sa
Externí odkaz:
https://doaj.org/article/1fdab63c84534b7186b3ce8c1c32daca
Publikováno v:
Sensors, Vol 21, Iss 7, p 2536 (2021)
Pedestrian fatalities and injuries most likely occur in vehicle-pedestrian crashes. Meanwhile, engineers have tried to reduce the problems by developing a pedestrian detection function in Advanced Driver-Assistance Systems (ADAS) and autonomous vehic
Externí odkaz:
https://doaj.org/article/70172065dd2d4a2289ab719fce94131d
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 30199-30220 (2015)
This research proposes an accurate vehicular positioning system which can achieve lane-level performance in urban canyons. Multiple passive sensors, which include Global Navigation Satellite System (GNSS) receivers, onboard cameras and inertial senso
Externí odkaz:
https://doaj.org/article/4ae969188f68413e82441d61278dc52b
Publikováno v:
Applied Sciences, Vol 10, Iss 22, p 8142 (2020)
Stock performance prediction is one of the most challenging issues in time series data analysis. Machine learning models have been widely used to predict financial time series during the past decades. Even though automatic trading systems that use Ar
Externí odkaz:
https://doaj.org/article/cded83f247784c79ad5b4d793b3667b8