Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
Federated learning for connected and automated vehicles: A survey of existing approaches and challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
Lane change strategies for autonomous vehicles: A deep reinforcement learning approach based on transformer
End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …
(AVs) decision-making. However, the deployment of these technologies is usually …
Left gaze bias between LHT and RHT: a recommendation strategy to mitigate human errors in left-and right-hand driving
Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …
can either cause road accidents or reduce driving performance in daily driving tasks …
A survey on map-based localization techniques for autonomous vehicles
A Chalvatzaras, I Pratikakis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …
perception, planning, and action operations. One of the foundational layers of such stacks is …
ChatGPT as your vehicle co-pilot: An initial attempt
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …
human intention and the machine's understanding and execution. Large Language Models …
An event-triggered scheme for state estimation of preceding vehicles under connected vehicle environment
Accurate knowledge about the motion state of preceding vehicles (PVs) contributes to the
optimization of planning and decision making of autonomous vehicles, which in turn further …
optimization of planning and decision making of autonomous vehicles, which in turn further …
CACC simulation platform designed for urban scenes
As a key technology to alleviate urban congestion, Cooperative Adaptive Cruise Control
(CACC) requires testing and evaluation before being commercialized. To evaluate CACC …
(CACC) requires testing and evaluation before being commercialized. To evaluate CACC …
GNN-PMB: A simple but effective online 3D multi-object tracker without bells and whistles
Multi-object tracking (MOT) is among crucial applications in modern advanced driver
assistance systems (ADAS) and autonomous driving (AD) systems. The global nearest …
assistance systems (ADAS) and autonomous driving (AD) systems. The global nearest …
ATOP: An attention-to-optimization approach for automatic LiDAR-camera calibration via cross-modal object matching
Y Sun, J Li, Y Wang, X Xu, X Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the difference of data modalities, it'sa very challenging task to find the feature
correspondences between 2D and 3D data in LiDAR-Camera calibration. In existing works …
correspondences between 2D and 3D data in LiDAR-Camera calibration. In existing works …