A vectorized representation model for trajectory prediction of intelligent vehicles in challenging scenarios

L Guo, C Shan, T Shi, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Trajectory prediction for challenging scenarios has always been a significant problem in the
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …

Foundation vehicles: From foundation intelligence to foundation transportation for future mobility

FY Wang, C Lv - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future
Mobility Page 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, VOL. 8, NO. 10 …

Foundation intelligence for smart infrastructure services in transportation 5.0

X Han, Z Meng, X Xia, X Liao, Y He… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This perspective paper delves into the concept of foundation intelligence that shapes the
future of smart infrastructure services as the transportation sector transitions into the era of …

Social vision for intelligent vehicles: From computer vision to foundation vision

H Yu, Y Wang, Y Tian, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The development of Artificial intelligent (AI), deep learning and computer vision technologies
has enabled various new applications and features of intelligent vehicles. However, there …

Convex optimization-based trajectory planning for quadrotors landing on aerial vehicle carriers

Z Shen, G Zhou, H Huang, C Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial
vehicle carriers (AVCs). The algorithm involves a quadrotor trajectory planning method …

An intelligent deep learning framework for traffic flow imputation and short-term prediction based on dynamic features

X Zong, Y Qi, H Yan, Q Ye - Knowledge-Based Systems, 2024 - Elsevier
The accurate prediction of traffic flow has emerged as a focal point in the cutting-edge
sphere of intelligent transportation. Extant methodologies rely on deep learning for short …

On intelligent mining with parallel intelligence

J Yang, Q Huang, S Ge, X Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The level of intelligence across various industries, including mining, has experienced a
notable advancement since the introduction of Industry 4.0. However, the societal demands …

Large models for intelligent transportation systems and autonomous vehicles: A survey

L Gan, W Chu, G Li, X Tang, K Li - Advanced Engineering Informatics, 2024 - Elsevier
Large models are widely used in intelligent transportation systems (ITS) and autonomous
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …

The road ahead: DAO-secured V2X infrastructures for safe and smart vehicular management

X Dai, M Vallati, R Guo, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) technology relies on wireless communication and coordination,
aiming to improve road safety and traffic efficiency by orchestrating the interaction among …

Autonomous crowdsensing: operating and organizing crowdsensing for sensing automation

W Wu, W Yang, J Li, Y Zhao, Z Zhu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS)
requires more comprehensive and accurate data, which imposes heightened demands on …