Advanced Driver Assistance Systems (ADAS) are advanced technologies that assist drivers
with vehicle operation and navigation. Recent improvements and brisk expansion in the …

Deep learning networks have demonstrated outstanding performance in 2D and 3D vision
tasks. However, recent research demonstrated that these networks result in failures when …

Maritime Autonomous Surface Ships (MASS) have brought a transformative wave in the
marine industry, yielding unprecedented operational advancements and efficiency gains …

In addition to red-green-blue (RGB) camera sensors, light detection and ranging (LiDAR)
plays an important role in autonomous vehicles (AVs) to perceive their surroundings. Deep …

Image fusion has achieved significant success, owing to the rapid development of digital
computing and Generative Adversarial Networks (GANs). GAN-based fusion techniques …

Autonomous vehicles face challenges in ensuring cyber-physical security due to their
reliance on image data from cameras processed by machine learning. These algorithms …

In the field of computer vision, active research is conducted to improve model performance.
The successful application of transformer models in computer vision has led to the …

Smart mobility is a key component of smart cities, and the switch from traditional automotive
systems to connected and automated vehicles (CAVs) is recognized as one of the evolving …

Perception algorithms are essential for autonomous or semi-autonomous vehicles to
perceive the semantics of their surroundings, including object detection, panoptic …

The proliferation of autonomous trucking demands a sophisticated understanding of the
risks associated with the diverse US interstate system. Traditional risk assessment models …