[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms
MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …
advantages of autonomous driving systems. The main advantage being the disassociation …
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …
services is being widely studied and a hot topic for the latest research works in the literature …
A measurement scheduling method for multi-vehicle cooperative localization considering state correlation
Accurate and robust localization is a fundamental requirement for safe autonomous driving.
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …
[HTML][HTML] Metaverse integration alternatives of connected autonomous vehicles with self-powered sensors using fuzzy decision making model
Using self-powered sensors, traffic data may be collected continuously, efficiently, and
sustainably once connected autonomous vehicles (CAVs) are a part of metaverse …
sustainably once connected autonomous vehicles (CAVs) are a part of metaverse …
Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment
S Zeng, N Zhang, C Zhang, W Su, LA Carlos - … Forecasting and Social …, 2022 - Elsevier
With the rapid development of instant delivery, the shrinking labor population and prevailing
contact-free economy, companies have launched unmanned ground delivery vehicles …
contact-free economy, companies have launched unmanned ground delivery vehicles …
Stability and safety evaluation of mixed traffic flow with connected automated vehicles on expressways
Z Yao, R Hu, Y Jiang, T Xu - Journal of Safety Research, 2020 - Elsevier
Abstract Introduction: Connected automated vehicles (CAVs) technology has deeply
integrated advanced technologies in various fields, providing an effective way to improve …
integrated advanced technologies in various fields, providing an effective way to improve …
Integrity monitoring of GNSS/INS based positioning systems for autonomous vehicles: State-of-the-art and open challenges
Positioning and navigation are critical functions of automated driving functions, which help
autonomous vehicles determine their absolute and relative positions in the environment that …
autonomous vehicles determine their absolute and relative positions in the environment that …
[HTML][HTML] State of data platforms for connected vehicles and infrastructures
The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …
to their ability to rapidly generate very large amounts of data, leading to a demand for …
GNSS vulnerabilities and existing solutions: A review of the literature
This literature review paper focuses on existing vulnerabilities associated with global
navigation satellite systems (GNSSs). With respect to the civilian/non encrypted GNSSs, they …
navigation satellite systems (GNSSs). With respect to the civilian/non encrypted GNSSs, they …
A systematic literature review of the factors influencing the adoption of autonomous driving
Autonomous vehicles (AVs) are the latest trend in the automobile industry. Although the
concept has existed since the beginning of the last century, recent technological …
concept has existed since the beginning of the last century, recent technological …