Sustainable transportation systems are necessary to accommodate the rising need for
mobility while minimizing the possible adverse social, economic, and environmental effects …

We propose an innovative method with which to extract building interior structure information
automatically, including ceiling, floor, and wall. Our approach outperforms previous methods …

Vehicular edge computing (VEC) has emerged in the Internet of Vehicles (IoV) as a new
paradigm that offloads computation tasks to Road Side Units (RSU) aiming to reduce the …

Range anxiety has become an important issue for the application of electric vehicles. Drivers
need information on whether they can reach their destinations and what the remaining …

Emerging concepts for advanced urban air mobility envision responsive air transportation
capabilities that will safely move people and cargo in locations presently underserved by …

This paper introduces a real-time workflow for implementing neural networks in the context
of autonomous driving. The UNet architecture is specifically selected for road segmentation …

Range-measuring sensors play a critical role in autonomous driving systems. While Light
Detection and Ranging (LiDAR) technology has been dominant, its vulnerability to adverse …

Recently, the research on the vehicular ad hoc network (VANET) has been paid more
attention by researchers with the quick development of the autonomous driving technology …

View Video Presentation: https://doi. org/10.2514/6.2023-0894. vid Emerging concepts for
advanced urban air mobility envision responsive air transportation capabilities that will …

Abstract Infrared (IR) and Visible (VIS) image fusion is a critical task in computer vision,
which aims to produce high-quality fused images by combining two modal images with …