High-Performance Perception: A camera-based approach for smart autonomous electric vehicles in smart cities

Stähler, Julian; Markgraf, Carsten; Pechinger, Mathias; Gao, David Wenzhong

doi:10.1109/mele.2023.3264920

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…utonomous vehicles represent a revolutionary advance in transportation technology. These vehicles are capable of navigating and operating without human intervention, relying instead on a combination of sensors, cameras, radar, and artificial intelligence algorithms (Stähler et al, 2023). The development and deployment of autonomous vehicles have garnered significant attention from researchers, policymakers, and the public due to their potential to transform our transportation methods and interaction with urban spaces (Barron, 2022).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Interactions between Resources, Technology, and Technical Aspects of Autonomous Vehicles on Urban Smart Spaces

Vaziri,

Ahmadi,

Talebi Rizi

et al. 2024

IJIMOB

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Objective: As urban populations grow, the demand for smarter and more efficient urban spaces becomes increasingly critical. The advent of autonomous vehicles also presents opportunities and challenges in shaping the future of smart cities. This article examines the complex interactions between resources, technology, and technical aspects of autonomous vehicles and their impact on urban spaces. Methodology: A comprehensive research methodology was employed to assess the impact of interactions between resources, technology, and technical aspects of autonomous vehicles on smart urban spaces. This included a review of the literature, data analysis, case studies, and simulations. By integrating findings from various sources and methods, a complete understanding of the subject was achieved. Findings: The findings of this study highlight the multifaceted impact of interactions between resources, technology, and technical aspects of autonomous vehicles on smart urban spaces. Despite their enormous potential to reduce traffic, enhance safety, and improve urban mobility, these interactions raise concerns about privacy, infrastructure compatibility, and equitable access. Conclusion: Therefore, it is essential for policymakers, urban planners, and technologists to collaborate in developing strong frameworks and regulations to harness the benefits of autonomous vehicle technology while mitigating potential challenges. By promoting innovation and inclusive urban development, cities can leverage the transformative power of autonomous vehicle technology to create smarter, more sustainable, and livable urban environments for all citizens.

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Section: Introductionmentioning

confidence: 99%

The Impact of Interactions between Resources, Technology, and Technical Aspects of Autonomous Vehicles on Urban Smart Spaces

Vaziri,

Ahmadi,

Talebi Rizi

et al. 2024

IJIMOB

View full text Add to dashboard Cite

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“…Recently, the use of Smart City technologies to resolve social issues faced by municipalities and regions has attracted attention, using advanced ICT technologies to improve the quality of life for citizens and to improve the efficiency of municipal functions [1][2][3]. Smart City is an important showcase for cyber-physical systems, and is promising for solutions to a wide range of social issues such as building safe and secure communities, and regional revitalization through tourism and other means.…”

Section: Introductionmentioning

confidence: 99%

Calibration‐Free Height Estimation for Person

Takeda,

Bandoh,

Kitahara

et al. 2024

IEEJ Transactions Elec Engng

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Demand for use of indoor and outdoor surveillance cameras to prevent crime, analyze customer behavior in commercial facilities and other purposes has been increasing. For these types of applications, it is important to be able to estimate information that cannot be observed directly from the images, using the image data. One such type of information is the height of people appearing in the video. People's heights can be used, for example, to help identify a suspect in a crime investigation or as an attribute to understand customers better for marketing. However, many conventional technologies for estimating height from images have required special calibration, or the acquisition of other information in addition to the video. This paper proposes a method for estimating a person's height using only an image, without the need for any special calibration. The key points of the proposed method involve the following two processes. In the first process, a reference object of known size and the person are recognized and the person's height is estimated based on the relative sizes of the person and reference object in the image. The second process involves selecting frames from the video that are appropriate for use in the estimation process. In practical experiments using real video, the method was able to estimate people's heights with an average estimation error of 1.9%. © 2024 The Authors. IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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