Mapping two decades of autonomous vehicle research: A systematic scientometric analysis

A Faisal, T Yigitcanlar, M Kamruzzaman… - Journal of Urban …, 2021 - Taylor & Francis
… The aim of this study is to map out the research on AV for a better understanding of the trends,
patterns, and interconnections in studies along with identifying future research directions. …

The transition to autonomous cars, the redesign of cities and the future of urban sustainability

F Cugurullo, RA Acheampong, M Gueriau… - Urban …, 2021 - Taylor & Francis
Autonomous cars controlled by an artificial … to autonomous transport, in a threefold manner.
First, we advance a theoretical framework to understand the diffusion of autonomous cars in …

How do autonomous cars work?

J Ondruš, E Kolla, P Vertaľ, Ž Šarić - Transportation Research Procedia, 2020 - Elsevier
… the car and creates a dynamic 3-D map of the car’s current environment. A sensor on the left
rear wheel monitors sideways movement to detect the car’s position relative to the 3-D map. …

Autonomous driving cars in smart cities: Recent advances, requirements, and challenges

I Yaqoob, LU Khan, SMA Kazmi, M Imran… - IEEE …, 2019 - ieeexplore.ieee.org
autonomous cars by devising a taxonomy. • We enumerate and discuss indispensable
requirements for the successful deployment of autonomous cars… its own location on a map [11]. In …

Self-driving cars: A survey

C Badue, R Guidolini, RV Carneiro, P Azevedo… - Expert systems with …, 2021 - Elsevier
cars published in the literature focusing on autonomous cars … , which are equipped with an
autonomy system that can be … autonomous car localization, static obstacles mapping, road …

Mapping for autonomous driving: Opportunities and challenges

K Wong, Y Gu, S Kamijo - IEEE Intelligent Transportation …, 2020 - ieeexplore.ieee.org
… Abstract—This article provides a review of the production and uses of maps for autonomous
… years, maps have helped human drivers make better decisions, and in the future, maps will …

Traffic light recognition using deep learning and prior maps for autonomous cars

LC Possatti, R Guidolini, VB Cardoso… - … joint conference on …, 2019 - ieeexplore.ieee.org
maps that uses both the detection model and the LiDAR sensor is proposed. The proposed
approach is implemented in the autonomous car of … IARA is the autonomous car built in our …

Assessing public perception of self-driving cars: The autonomous vehicle acceptance model

C Hewitt, I Politis, T Amanatidis, A Sarkar - Proceedings of the 24th …, 2019 - dl.acm.org
… We map the five levels used in the 2014 study to the six SAE … , and group attitudes towards
autonomous cars. In Proc. of … Towards autonomous cars: the effect of autonomy levels on …

Autonomous cars: Recent developments, challenges, and possible solutions

S Singh, BS Saini - IOP conference series: Materials science and …, 2021 - iopscience.iop.org
… Scope of the study: This paper aims to discuss the recent developments and challenges in
autonomous cars. It … HD map is an electronic map which is currently available for self – driving …

High definition map for automated driving: Overview and analysis

R Liu, J Wang, B Zhang - The Journal of Navigation, 2020 - cambridge.org
… This study focuses on a map relative … In this study recent HD Map development in the
context of automated driving system framework has been analysed, with a focus on the HD Map