Abstract:Metaverses have caused significant changes in the industry and their academic foundation can be traced back to the term cyber-physical-social systems (CPSS), which was proposed in 2010. Radar is an important sensor in sensing systems that are widely applied in many fields, especially, in autonomous driving. To deal with the complex environment, smart radars with realtime information processing capabilities are required. Human factors play a critical role in the operation and management of radar systems, thus, … Show more
“…The concept of Social Radar originated from the necessity to improve the social intelligence of autonomous systems in CPSS, enabling them to interpret and respond to complex human behaviors and social cues more effectively [6][7][8].…”
Section: Social Radars For Social Vision Of Ivs From Skyways In Low A...mentioning
We have received 4,726 submissions have received last year, with an average acceptance rate (AR) at 10.5%, average processing days per paper (PDPP) at 20.2, and average submissions per day (SPD) at 12.9. Our current SPD is 20.9, we have received 313 manuscripts by Jan 15, 2024 . A big improvement compared to what we started [1-3]. See Fig1 and Fig 2 for detailed.
“…The concept of Social Radar originated from the necessity to improve the social intelligence of autonomous systems in CPSS, enabling them to interpret and respond to complex human behaviors and social cues more effectively [6][7][8].…”
Section: Social Radars For Social Vision Of Ivs From Skyways In Low A...mentioning
We have received 4,726 submissions have received last year, with an average acceptance rate (AR) at 10.5%, average processing days per paper (PDPP) at 20.2, and average submissions per day (SPD) at 12.9. Our current SPD is 20.9, we have received 313 manuscripts by Jan 15, 2024 . A big improvement compared to what we started [1-3]. See Fig1 and Fig 2 for detailed.
Recent advances in human-in-the-loop or human-centric research have sparked a new wave of scientific exploration. These studies have enhanced the understanding of complex social systems and contributed to more sustainable artificial intelligence (AI) ecosystems. However, the incorporation of human or social factors increases system complexity, making traditional approaches inadequate for managing these complex systems and necessitating a novel operational paradigm. Over decades of work, a mature and comprehensive theory of parallel intelligence (PI) has been established. Rooted in cyber-physical-social systems (CPSS), PI adapts flexibly to various situations within complex systems through the ACP framework (Artificial systems, Computational experiments, and Parallel execution), ensuring system reliability. This paper provides a detailed review and a novel perspective on PI, beginning with the historical and philosophical origins of CPSS and proceeding to present both the fundamental framework and technological implementations of PI. PI-based Industry 5.0 is highlighted, where three pillars are adopted to help realize the supposed vision. Additionally, the paper outlines applications of PI in multiple fields, such as transportation, healthcare, manufacturing, and agriculture, and discusses the opportunities and challenges for imaginative intelligence. The continuous exploration of PI is expected to eventually facilitate the realization of “6S”-based (safe, secure, sustainable, sensitive, service, and smart) parallel ecosystems.
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