|
|
|
|
|
Sungwon Moon, Seolwon Koo, Yujin Lim and Hyunjin Joo
With recent technological advancements, the commercialization of autonomous vehicles (AVs) is expected to be realized soon. However, it is anticipated that a mixed traffic of AVs and human-driven vehicles (HVs) will persist for a considerable period unti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sunbin Yoo, Junya Kumagai, Yuta Kawabata, Alexander Ryota Keeley and Shunsuke Managi
This study investigates the impact of environmental concerns, concerns about potential accidents, and the perceived advantages of fully autonomous vehicles on individuals? willingness to buy and the perceived value of these vehicles. Our research, conduc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Priyank Kalgaonkar and Mohamed El-Sharkawy
Accurate perception is crucial for autonomous vehicles (AVs) to navigate safely, especially in adverse weather and lighting conditions where single-sensor networks (e.g., cameras or radar) struggle with reduced maneuverability and unrecognizable targets....
ver más
|
|
|
|
|
|
|
|
|
|
|
Sungil Byun and Dongik Lee
This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, search...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dacheng Yu, Mingjun Zhang, Feng Yao and Jitao Li
Variational Mode Decomposition (VMD) has typically been used in weak fault feature extraction in recent years. The problem analyzed in this study is weak fault feature extraction and the enhancement of AUV thrusters based on Artificial Rabbits Optimizati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuerao Wang, Yuncheng Ouyang, Xiao Wang and Qingling Wang
In this paper, a finite-time, active fault-tolerant control (AFTC) scheme is proposed for a class of autonomous surface vehicles (ASVs) with component faults. The designed AFTC framework is based on an integrated design of fault detection (FD), fault est...
ver más
|
|
|
|
|
|
|
|
|
|
|
JongBae Kim
This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained fro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Al Tariq Sheik, Carsten Maple, Gregory Epiphaniou and Mehrdad Dianati
Cloud-Assisted Connected and Autonomous Vehicles (CCAV) are set to revolutionise road safety, providing substantial societal and economic advantages. However, with the evolution of CCAV technology, security and privacy threats have increased. Although se...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donggyun Kim, Byungjin Lee and Sangkyung Sung
This paper explores the research topic of enhancing the reliability of unmanned mobile exploration using LiDAR SLAM. Specifically, it proposes a technique to analyze waypoints where 3D LiDAR SLAM can be smoothly performed in potential exploration areas a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiao Liang, Rubo Zhang and Xingru Qu
|
|
|
|
|
|