Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

This paper describes the development and testing results for a system of Cloudbased
mirrors for physical vehicles called" Avacars." Avacars duplicate parameters from On-Board …

The use of data and deep learning algorithms in transportation research have become
increasingly popular in recent years. Many studies rely on real-world data. Collecting …

This comprehensive literature review explores the potential of Augmented Reality and
Virtual Reality technologies to enhance the design and testing of autonomous vehicles. By …

Infrastructure-mounted sensors that monitor roads can provide essential information for
manual drivers and automated vehicles, eg, positions of other vehicles occluded by …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience
and driving safety. However, milestones in AVs have materialized slower than forecast …

This paper proposes a new method, that we call VisualBackProp, for visualizing which sets
of pixels of the input image contribute most to the predictions made by the convolutional …

With the continuous advancement of autonomous driving technology, visual analysis
techniques have emerged as a prominent research topic. The data generated by …

This demo showcases the integration of a virtual reality (VR) driving simulator with a traffic
simulator to enhance usability, improve traffic safety, and optimize traffic flow. By combining …