[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows
In recent years, deep learning has revolutionized computer vision and has been widely used
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
Deep learning for road traffic forecasting: Does it make a difference?
Deep Learning methods have been proven to be flexible to model complex phenomena.
This has also been the case of Intelligent Transportation Systems, in which several areas …
This has also been the case of Intelligent Transportation Systems, in which several areas …
The many faces of adversarial risk
Adversarial risk quantifies the performance of classifiers on adversarially perturbed data.
Numerous definitions of adversarial risk---not all mathematically rigorous and differing subtly …
Numerous definitions of adversarial risk---not all mathematically rigorous and differing subtly …
[HTML][HTML] Digital twin of a city: Review of technology serving city needs
Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …
Deep learning in lane marking detection: A survey
Y Zhang, Z Lu, X Zhang, JH Xue… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Lane marking detection is a fundamental but crucial step in intelligent driving systems. It can
not only provide relevant road condition information to prevent lane departure but also assist …
not only provide relevant road condition information to prevent lane departure but also assist …
Fast vehicle detection algorithm in traffic scene based on improved SSD
Z Chen, H Guo, J Yang, H Jiao, Z Feng, L Chen, T Gao - Measurement, 2022 - Elsevier
For autonomous driving systems, vehicle detection is an important part and challenging
problem due to the complex traffic scenes and poor computing resources. This paper …
problem due to the complex traffic scenes and poor computing resources. This paper …
A dynamic Spatial-temporal attention network for early anticipation of traffic accidents
The rapid advancement of sensor technologies and artificial intelligence are creating new
opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been …
opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been …