Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Ciyun Lin"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4569 (2024)
Detection of pavement diseases is crucial for road maintenance. Traditional methods are costly, time-consuming, and less accurate. This paper introduces an enhanced pavement disease recognition algorithm, MS-YOLOv8, which modifies the YOLOv8 model by
Externí odkaz:
https://doaj.org/article/253c8a6eb4fa4ceb8dd04391899cdba0
Publikováno v:
IEEE Access, Vol 11, Pp 32616-32627 (2023)
This study proposes using connected automatic vehicles (CAVs) as traffic flow detectors to collect and exchange traffic flow data for heterogeneous traffic management and control. The proposed method includes the construction of a mathematical matrix
Externí odkaz:
https://doaj.org/article/af4f961fe5f04301af69b96014a3c0f0
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 366 (2024)
Object detection is the fundamental task of vision-based sensors in environmental perception and sensing. To leverage the full potential of roadside 4D MMW radars, an innovative traffic detection method is proposed based on their distinctive data cha
Externí odkaz:
https://doaj.org/article/65467d3edc494522b07e1cb0e4b864e7
Publikováno v:
Sensors, Vol 23, Iss 19, p 8241 (2023)
Road defect detection is a crucial aspect of road maintenance projects, but traditional manual methods are time-consuming, labor-intensive, and lack accuracy. Leveraging deep learning frameworks for object detection offers a promising solution to the
Externí odkaz:
https://doaj.org/article/845cc9856c0e441e87040431421520f0
Publikováno v:
Sensors, Vol 23, Iss 19, p 8143 (2023)
By the end of the 2020s, full autonomy in autonomous driving may become commercially viable in certain regions. However, achieving Level 5 autonomy requires crucial collaborations between vehicles and infrastructure, necessitating high-speed data pro
Externí odkaz:
https://doaj.org/article/ae772f89429c4a1e9c5ec25d6879ef3f
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3306 (2023)
In the context of sustainable development, this paper rationalises the outbound process of a four-way shuttle system with a focus on their modelling, performance evaluation and configuration using a parallel operation strategy to reduce resource wast
Externí odkaz:
https://doaj.org/article/3a0c7de65a9f4ab1861b47e67433b4c2
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1556 (2023)
As an important stage in the development of autonomous driving, mixed traffic conditions, consisting of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs), have attracted more and more attention. In fact, the randomness of human-dr
Externí odkaz:
https://doaj.org/article/7ad0fe78e19542479f81ea931770253a
Publikováno v:
Mathematics, Vol 11, Iss 4, p 812 (2023)
With the development of China’s express delivery industry, the number of express packaging has proliferated, leading to many problems such as environmental pollution and resource waste. In this paper, the process of reverse logistics network design
Externí odkaz:
https://doaj.org/article/3a8dedce557144ddbb5115bb5019d7dc
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0247453 (2021)
Driver behavior is considered one of the most important factors in the genesis of dilemma zones and the safety of driver-vehicle-environment systems. An accurate driver behavior model can improve the traffic signal control efficiency and decrease tra
Externí odkaz:
https://doaj.org/article/71361a9d590c4504a76c2d928eff647e
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Traffic safety is affected by many complex factors. Mind wandering (MW) is a fatal cause affecting driving safety and is hard to be detected and prevented due to its uncertain and complex occurrence mechanism. The aim of this study was to propose a f
Externí odkaz:
https://doaj.org/article/38fc59ae1193439c8bb5fd467bf2140a