Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis

Su, Yu-Shan; Huang, Hsini; Daim, Tugrul; Chien, Pan-Wei; Peng, Ru-Ling; Karaman Akgul, Arzu

doi:10.1016/j.techfore.2023.122817

Cited by 13 publications

(2 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies apply models' growth to examine the diffusion of technologies and technological progress ( [21], [31], [71]- [77]). In economics of innovation, logistic model (having a symmetric S-shape) is a valuable tool for visualizing the evolutionary trajectory of a technology over time ( [21], [73.…”

Section: Data Analysis Proceduresmentioning

confidence: 99%

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Coccia,

Roshani

2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

The goal of this study is to analyze evolutionary phases of emerging technologies to improve technological forecasting and management of promising innovations. Methodology applies S-shaped models with patent data to analyze the evolutionary phases in quantum technologies. Findings reveal that the evolutionary cycle of recent quantum technologies, based on patent data, is reducing compared to older technologies originated before 1980: from about 66 to 45 years. In addition, recent quantum technologies have a growth phase of about 22 years and maturity phase of 11 years, a shorter period than technologies originated before the 1980s (having a growth phase of 40 years and a maturity phase of about 13 years). The measure of entropy in the growth phase is lower (0.64) than maturity phase (0.74): a lower diversification of technological topics and technological trajectories. Results here suggest that the evolution of emerging technologies, such as quantum technology, has a high complexity and uncertainty for rapid changes in scientific and innovation ecosystem. Results support a technological management based on an ambidexterity strategy: a) Exploitation strategy in early phase of a technology's life cycle, which is characterized by concentrated topics (lower entropy index), directed to targeted investments in specific technologies; b) structure and dynamics in the maturity phase of technology's life cycle, having diversified themes (higher entropy index), suggests a strategy of exploration for detecting the most promising technological directions for future quantum innovations among new and expanding domains for achieving and sustaining competitive advantage of firms in a world of innovation-based competition.

show abstract

Section: Data Analysis Proceduresmentioning

confidence: 99%

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Coccia,

Roshani

2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…Furthermore, in the case of cloud/edge-based real-time tasks for CAVs, a reliable and low-latency connection is of extreme importance. With NTN communication technology, the data transmitting and offloading between CAVs and external devices can achieve an ultra-low latency of less than 1 ms [134][135][136].…”

Section: Vehicle-to-everything Communication Via Ntnmentioning

confidence: 99%

Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network

Wang,

Guo,

Gao

2024

Information

View full text Add to dashboard Cite

Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intelligence (AI), have gained significant attention from academia and industry. These systems have various applications in autonomous driving, logistics, area surveillance, and medical services. With the rapid evolution of information and communication technology (ICT), 5G and beyond-5G communication have enabled numerous intelligent applications through the comprehensive utilization of advanced NTN communication technology and artificial intelligence. To meet the demands of complex tasks in remote or communication-challenged areas, there is an urgent need for reliable, ultra-low latency communication networks to enable unmanned autonomous intelligent systems for applications such as localization, navigation, perception, decision-making, and motion planning. However, in remote areas, reliable communication coverage is not available, which poses a significant challenge for intelligent systems applications. The rapid development of non-terrestrial networks (NTNs) communication has shed new light on intelligent applications that require ubiquitous network connections in space, air, ground, and sea. However, challenges arise when using NTN technology in unmanned autonomous intelligent systems. Our research examines the advancements and obstacles in academic research and industry applications of NTN technology concerning UAIS, which is supported by unmanned aerial vehicles (UAV) and other low-altitude platforms. Nevertheless, edge computing and cloud computing are crucial for unmanned autonomous intelligent systems, which also necessitate distributed computation architectures for computationally intensive tasks and massive data offloading. This paper presents a comprehensive analysis of the opportunities and challenges of unmanned autonomous intelligent systems in UAV NTN, along with NTN-based unmanned autonomous intelligent systems and their applications. A field trial case study is presented to demonstrate the application of NTN in UAIS.

show abstract

The development trends, technological competition situations and cooperation status of carbon-negative technology: A patent landscape analysis

Li,

Gao,

Yuan

et al. 2024

Journal of CO2 Utilization

View full text Add to dashboard Cite

Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis

Cited by 13 publications

References 63 publications

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network

The development trends, technological competition situations and cooperation status of carbon-negative technology: A patent landscape analysis

Contact Info

Product

Resources

About