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Spatial Environment Perception and Sensing in Automated Systems: A Review

Schnelle Fakten

  • Interne Autorenschaft

  • Weitere Publizierende

    S. C. Mukhopadhyay, João Paulo Javidi da Costa, Chirasree RoyChaudhuri, Lan Lan, Nevine Demitri

  • Veröffentlichung

    • 2024
  • Sammelband

    Spatial Environment Perception and Sensing in Automated Systems: A Review

  • Zeitschrift/Zeitung

    IEEE Sensors Journal

  • Organisationseinheit

  • Fachgebiete

    • Elektrotechnik allgemein
  • Format

    Journalartikel (Review)

Zitat

T. Fei, S. C. Mukhopadhyay, J. P. J. da Costa, C. RoyChaudhuri, L. Lan, and N. Demitri, “Spatial Environment Perception and Sensing in Automated Systems: A Review,” IEEE Sensors Journal, pp. 1–21, 2024.

Abstract

This paper provides a concise yet comprehensive review of spatial environment sensing and perception in automated systems, crucial for intelligent applications such as smart cities, smart homes, navigation, automated driving and industry 4.0. With a focus on achieving dependable performance even in harsh environments and enabling affordable mass deployment, the review explores sensor technologies, calibration, diagnostics, performance degradation analysis, and machine-learning-based perception algorithms. Our contributions aim to deepen understanding and drive progress in automated systems, addressing challenges across diverse application scenarios. Through a meticulous analysis of the pros and cons of state-of-the-art technologies, the paper sheds light on future trends in research and development. This work serves as a valuable resource for researchers, practitioners, and industry professionals seeking insights into the evolving landscape of spatial environment sensing and perception.

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