|
|
|
|
|
Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shichen Fu, Zhenhua Yang, Yuan Ma, Zhenfeng Li, Le Xu and Huixing Zhou
Detecting the factors affecting drivers? safe driving and taking early warning measures can effectively reduce the probability of automobile safety accidents and improve vehicle driving safety. Considering the two factors of driver fatigue and distractio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liu Han and Peng Liu
In an effort to enhance the efficiency and safety of open-pit mines, this study explores the optimization of end slope road parameters and slope structures, specifically focusing on unmanned driving lanes. A significant aspect of the study is the develop...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Mu, Wenhao Yu, Zhongxing Li, Changjun Wang, Guangming Zhao, Wenhui Zhou and Mingyue Ma
This work designed a motion planning algorithm for autonomous vehicles in unanticipated obstacle scenarios. In standard driving scenarios, the proposed motion planning algorithm plans a trajectory that complies with intersection regulations, including la...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jin Li, Tao Han, Wenyang Guan and Xiaoqin Lian
With the development and popularization of Intelligent Transportation Systems (ITS), Vehicle Ad-Hoc Networks (VANETs) have attracted extensive attention as a key technology. In order to achieve real-time monitoring, VANET technology enables vehicles to c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arpad Takacs and Tamas Haidegger
The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a standalone technology for achieving high automation, it is recognized as a sa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Khaled Rabieh, Rasha Samir and Marianne A. Azer
Rapid advances in technology and shifting tastes among motorists have reworked the contemporary automobile production sector. Driving is now much safer and more convenient than ever before thanks to a plethora of new technology and apps. Millions of peop...
ver más
|
|
|
|
|
|
|
|
|
|
|
Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tamir Shaqarin and Bernd R. Noack
Limiting the suspension stroke in vehicles holds critical and conceivable benefits. It is crucial for the safety, stability, ride comfort, and overall performance of the vehicle. Furthermore, it improves the reliability of suspension components and maint...
ver más
|
|
|
|
|
|