With the wide deployments of heterogeneous networks, huge amounts of data with
characteristics of high volume, high variety, high velocity, and high veracity are generated …

In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

Modern vehicles are equipped with a myriad of sensors. Proprioceptive sensors monitor the
vehicle status and operation, whereas exteroceptive ones sense the external environment …

This article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain mapping …

Autonomous driving of higher automation levels asks for optimal execution of critical
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …

In this era of active development of autonomous vehicles, it becomes crucial to provide
driving systems with the capacity to explain their decisions. In this work, we focus on …

Abstract Information integration from different modalities is an active area of research.
Human beings and, in general, biological neural systems are quite adept at using a …

Despite advancements in vehicle safety and driving aids, road traffic accidents remain a
major issue globally, largely due to human error. A comprehensive understanding of driver …

Multi-source meteorological data can reflect the development process of single
meteorological elements from different angles. Making full use of multi-source …

Integration of multimodal information from various sources has been shown to boost the
performance of machine learning models and thus has received increased attention in …