Magazine: Spring 2022 | Volume 28, No. 3
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SECTION: Features
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Smart mobility
Transportation is an essential component of living in smart cities, but what would mobility in smart cities look like? This article is an overview of the opportunities and challenges presented by smart mobility.
By Arnav Choudhry
Benchmarking robots in smart cities
In order for robots to become integrated into society, we need to be able to prove that robots do their jobs reliably. Robot benchmarking competitions in smart cities offer a glimpse into our future.
By Matthew Studley, Valentina Presutti, Daniele Nardi, Sarah Carter
Technology to support independent navigation of people with visual impairments
Smart cities have the potential to improve mobility for people with disabilities, but only if their needs are considered up front and not as an afterthought. Prior research shows promising paths for real-world deployments and for new technological innovations.
By João Guerreiro
The challenges and future of navigation for people with disabilities
People with disabilities can pervasively obtain navigation services based on modern machine learning and 5G techniques.
By Jialong Zhou, Chen Qiu, Bin Guo, Zhiwen Yu
Non-IID spatio-temporal prediction in smart cities
Non-IID spatio-temporal prediction research points toward emerging directions and fundamental solutions to address various complexities from the perspective of both data couplings and heterogeneity. Delving into the non-IID challenge and opportunity of spatio-temporal prediction in smart cities, this article also addresses current solutions to bring some inspiration to future researchers.
By Siyuan Ren, Bin Guo, Qinfen Wang, Zhiwen Yu
Formal methods enhance deep learning for smart cities
Rigorous approaches based on formal methods have the potential to fundamentally improve many aspects of deep learning. This article discusses the challenges and future directions of formal methods enhanced deep learning for smart cities.
By Meiyi Ma
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Safer together
A pioneer of digital contact tracing discusses the considerations that went into building the world's first national contact tracing app and ponders the future of the technology.
By Jason Bay
The principle of least sensing
With the worldwide emergence of data protection regulations, how to conduct law-regulated big data analytics becomes a challenging and fundamental problem. This article introduces the principle of least sensing, a promising sensing paradigm toward legally regulated big data analytics.
By Leye Wang