A vectorized representation model for trajectory prediction of intelligent vehicles in challenging scenarios
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 …
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
Foundation Vehicles: From Foundation Intelligence to Foundation Transportation for Future
Mobility Page 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, VOL. 8, NO. 10 …
Mobility Page 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, VOL. 8, NO. 10 …
Foundation intelligence for smart infrastructure services in transportation 5.0
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 …
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
The development of Artificial intelligent (AI), deep learning and computer vision technologies
has enabled various new applications and features of intelligent vehicles. However, there …
has enabled various new applications and features of intelligent vehicles. However, there …
Convex optimization-based trajectory planning for quadrotors landing on aerial vehicle carriers
This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial
vehicle carriers (AVCs). The algorithm involves a quadrotor trajectory planning method …
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
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 …
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 …
notable advancement since the introduction of Industry 4.0. However, the societal demands …
Large models for intelligent transportation systems and autonomous vehicles: A survey
Large models are widely used in intelligent transportation systems (ITS) and autonomous
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …
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
Vehicle-to-Everything (V2X) technology relies on wireless communication and coordination,
aiming to improve road safety and traffic efficiency by orchestrating the interaction among …
aiming to improve road safety and traffic efficiency by orchestrating the interaction among …
Autonomous crowdsensing: operating and organizing crowdsensing for sensing automation
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS)
requires more comprehensive and accurate data, which imposes heightened demands on …
requires more comprehensive and accurate data, which imposes heightened demands on …