This paper provides a systematic literature review of studies investigating autonomous
driving technologies, lane detection algorithms, and adaptive and dynamic route planning …

This article reviews and advances existing literature concerning com-puter vision and route
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …

The purpose of this study is to examine road environment data, tracking control and spatial
cognition algorithms, and virtual navigation and simulation modeling tools. In this article, I …

The objective of this paper is to systematically review remote sensing data fusion
techniques, autonomous vehicle driving perception algorithms, and mobility simulation tools …

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 …

Employing recent research results covering predictive control algorithms, real-world
connected vehicle data, and smart mobility technologies in intelligent transportation …

This article reviews and advances existing literature concerning motion planning and object
recognition algorithms, vehicle navigation and collision avoidance technologies, and …

This article presents an empirical study carried out to evaluate and analyze autonomous
driving algorithms and behaviors, sensing and computing technologies, and connected …

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 …

Despite the relevance of machine and deep learning technologies, location tracking and
obstacle avoidance algorithms, and cognitive wireless sensor networks in intelligent …