Autonomous driving is no more a topic of science fiction. Advancement of autonomous
driving technologies are now reliable. Effectively harnessing the information is essential for …

With the progression of artificial intelligence, there has been substantial advancement in
autonomous driving technology. However, even the most advanced systems may confront …

Road safety is crucial in the design of autonomous vehicles, so safety and performance tests
must be carried out regularly. Visualization applications of data acquired in these tests are …

Autonomous driving technologies often use state-of-the-art artificial intelligence algorithms
to understand the relationship between the vehicle and the external environment, to predict …

The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

Connected vehicles (CVs) are an emerging technology in intelligent transportation systems.
Currently, many data-driven intelligent transportation systems (D2ITS) use CV data …

In the age of intelligence, humans pursue a safe and convenient mobility experience.
Intelligent vehicles have integrated various machine intelligence to support humans in …

Vision-based deep learning (DL) methods have made great progress in learning
autonomous driving models from large-scale crowd-sourced video datasets. They are …

The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration), and the broad deployment of communication …

Understanding driving scenarios is a critical issue in autonomous driving, as it allows
developers to create more effective and reliable autonomous driving systems. However, the …