“Baby, you can drive my car”: Psychological antecedents that drive consumers' adoption of AI-powered autonomous vehicles

L Meyer-Waarden, J Cloarec - Technovation, 2022 - Elsevier
Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most highly
anticipated technological advancements of our time, with potentially wide-ranging social …

Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design

M Arunmozhi, VG Venkatesh, S Arisian, Y Shi… - … Research Part E …, 2022 - Elsevier
With the rise of digital sustainable business models in the Autonomous Vehicles (AV)
industry, the traditional automakers are undergoing a major restructuring in their key …

[PDF][PDF] A framework for mission-oriented innovation policy: Alternative pathways through the problem–solution space

I Wanzenböck, JH Wesseling, K Frenken… - Science and public …, 2020 - academic.oup.com
We aim for a better conceptualization of mission-oriented innovation policy (MIP). Our
starting point is an analytical decomposition of societal problems and innovative solutions …

Impacts of connected and autonomous vehicles on urban transportation and environment: A comprehensive review

MM Rahman, JC Thill - Sustainable Cities and Society, 2023 - Elsevier
The article discusses the short, medium, and long-term effects of Autonomous Vehicles
(AVs) on the urban transportation and environment by means of a systematic review of the …

Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system

M Elsisi - Artificial intelligence review, 2022 - Springer
The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors

E Arnold, M Dianati, R de Temple… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
3D object detection is a common function within the perception system of an autonomous
vehicle and outputs a list of 3D bounding boxes around objects of interest. Various 3D object …

Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges

S Iftikhar, Z Zhang, M Asim, A Muthanna… - Electronics, 2022 - mdpi.com
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

Collaborative perception in autonomous driving: Methods, datasets, and challenges

Y Han, H Zhang, H Li, Y Jin, C Lang… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …

MXene‐Composite‐Enabled Ultra‐long‐Distance Detection and Highly Sensitive Self‐Powered Noncontact Triboelectric Sensors and Their Applications in Intelligent …

C Zhao, Z Wang, Y Wang, Z Qian, Z Tan… - Advanced Functional …, 2023 - Wiley Online Library
With the ongoing advancement in sensor technologies, the development of intelligent,
secure, and low‐carbon vehicles will be possible in the near future. However, providing …

A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments

J Hu, B Zheng, C Wang, C Zhao, X Hou, Q Pan… - Frontiers of Information …, 2020 - Springer
With the development of sensor fusion technologies, there has been a lot of research on
intelligent ground vehicles, where obstacle detection is one of the key aspects of vehicle …