The present study systematically reviews the existing research on geospatial mapping and
simulation modeling tools, environment and vehicle sensors, and crash avoidance …

The aim of this systematic review is to synthesize and analyze virtual simulation and
geospatial mapping tools, computer vision and path planning algorithms, and autonomous …

The objective of this paper is to systematically review connected vehicle data, spatial
recognition technologies, and machine learning and computer vision algorithms. The …

Based on an in-depth survey of the literature, the purpose of the paper is to explore Internet
of Things-sensing tools, data processing and smart mobility technologies, and self-driving …

The purpose of this study was to empirically examine autonomous vehicle interaction control
software, big geospatial data analytics, and networked driverless technologies in smart …

We draw on a substantial body of theoretical and empirical research on smart infrastructure
sensors, deep learning-based autonomous driving and data processing technologies, and …

The present study systematically reviews the existing research on big geospatial data
analytics, connected vehicle technologies, and visual perception and sensor fusion …

We draw on a substantial body of theoretical and empirical research on autonomous vehicle
driving algorithms, deep learning-based sensing technologies, and big geospatial data …

The purpose of this study is to examine autonomous vehicle perception sensor data, motion
planning and object recognition algorithms, and virtual simulation modeling tools in smart …

The purpose of this study was to empirically examine real-world connected vehicle data,
deep learning-based sensing technologies, and decision-making self-driving car control …