A Survey of Multi-Agent Cross Domain Cooperative Perception

Zhu, Zhongpan; Du, Qiwei; Wang, Zhipeng; Li, Gang

doi:10.3390/electronics11071091

Cited by 4 publications

(3 citation statements)

References 98 publications

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“…In recent years, with the increasingly widespread use of sensors such as LiDAR and multi-view cameras on intelligent systems such as autonomous vehicles, unmanned aerial vehicles (UAV) [18,19], unmanned surface vehicles (USV) [20,21], and industrial robots [22], data collection and enhancement of system perception capabilities have been greatly facilitated [23]. Notably, datasets from individual intelligent entities have significantly promoted perception performance improvement in various domains [24][25][26].…”

Section: Cooperative Perception Datasetsmentioning

confidence: 99%

S2S-Sim: A Benchmark Dataset for Ship Cooperative 3D Object Detection

Yang,

Wang,

Luo

et al. 2024

Electronics

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The rapid development of vehicle cooperative 3D object-detection technology has significantly improved the perception capabilities of autonomous driving systems. However, ship cooperative perception technology has received limited research attention compared to autonomous driving, primarily due to the lack of appropriate ship cooperative perception datasets. To address this gap, this paper proposes S2S-sim, a novel ship cooperative perception dataset. Ship navigation scenarios were constructed using Unity3D, and accurate ship models were incorporated while simulating sensor parameters of real LiDAR sensors to collect data. The dataset comprises three typical ship navigation scenarios, including ports, islands, and open waters, featuring common ship classes such as container ships, bulk carriers, and cruise ships. It consists of 7000 frames with 96,881 annotated ship bounding boxes. Leveraging this dataset, we assess the performance of mainstream vehicle cooperative perception models when transferred to ship cooperative perception scenes. Furthermore, considering the characteristics of ship navigation data, we propose a regional clustering fusion-based ship cooperative 3D object-detection method. Experimental results demonstrate that our approach achieves state-of-the-art performance in 3D ship object detection, indicating its suitability for ship cooperative perception.

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Section: Cooperative Perception Datasetsmentioning

confidence: 99%

S2S-Sim: A Benchmark Dataset for Ship Cooperative 3D Object Detection

Yang,

Wang,

Luo

et al. 2024

Electronics

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“…In terms of real-time interaction, 5G technology helps HDT to address the problem of real-time interaction because the development of 5G \6G networks has added the additional potential for precise real-time data collection and access [106]. Due to its high reliable connection, high speed and low delay, 5G systems have been widely applied and deployed in various countries [107].…”

Section: Technology Issuesmentioning

confidence: 99%

“…At the same time, some ethical principles in digital cloning may also apply to HDT. HDT continuously causes social regulation issues contrary to human ethics and dignity, as embodied in the United Nations Declaration on Human Cloning [106]. It is notifiable that digital cloning challenges human ethics and social regulation.…”

Section: Social Issuesmentioning

confidence: 99%

Human Digital Twin: A Survey

Lin

Chen

Ali

et al. 2022

Preprint

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Digital twin has recently attracted growing attention, leading to intensive research and applications. Along with this, a new research area, dubbed as "human digital twin" (HDT), has emerged. Similar to the conception of digital twin, HDT is referred to as the replica of a physical-world human in the digital world. Nevertheless, HDT is much more complicated and delicate compared to digital twins of any physical systems and processes, due to humans' dynamic and evolutionary nature, including physical, behavioral, social, physiological, psychological, cognitive, and biological dimensions. Studies on HDT are limited, and the research is still in its infancy. In this paper, we first examine the inception, development, and application of the digital twin concept, providing a context within which we formally define and characterize HDT based on the similarities and differences between digital twin and HDT. Then we conduct an extensive literature review on HDT research, analyzing underpinning technologies and establishing typical frameworks in which the core HDT functions or components are organized. Built upon the findings from the above work, we propose a generic architecture for the HDT system and describe the core function blocks and corresponding technologies. Following this, we present the state of the art of HDT technologies and applications in the healthcare, industry, and daily life domain. Finally, we discuss various issues related to the development of HDT and point out the trends and challenges of future HDT research and development.

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