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Explainable Collaborative Sensing for Critical Decision Systems
ID：147 View Protection：ATTENDEE Updated Time：2026-07-27 12:57:52 Hits：7 Online

Start Time：2026-07-31 15:40（Asia/Kolkata）

Duration：15min

Session：S7 Disruptive Technologies for Manufacturing » S7-2Disruptive Technologies for Manufacturing

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Abstract
Abstract—The collaborative operation of multiple heterogeneous sensors to enable accurate and reliable situational awareness is found in critical decision systems such as autonomous vehicles, disaster response platforms, industrial automation, and smart healthcare. While collaborative sensing allows for better coverage, robustness and fault tolerance, it also creates problems with the understanding of the contribution of individual sensors to the decisions. In this paper, we provide a detailed review of Explainable Collaborative Sensing (ECS) and argue the need for embedding explainability in sensor fusion and decision-making instead of as a post-processing step. To improve the transparency, trust and reliability of decisions, an explainable collaborative sensing framework, which consists of six layers, is proposed to achieve explainable sensor fusion, trust aware reasoning and edge-cloud intelligence. The review also presents mathematical models for weighted sensor fusion, explanation quality assessment and dynamic trust updating and demonstrates the effectiveness of the proposed framework by employing metrics like decision accuracy, explanation quality, trust correlation, and inference latency. Finally, the challenges of current research, new opportunities, and directions for the future of creating transparent, trusted, and human-centric collaborative sensing systems with the goal of supporting safety-critical applications in the real world are discussed.
Keywords
Collaborative Sensing, Explainable Artificial Intelligence (XAI), Sensor Fusion, Trust Modelling, Edge–Cloud Computing, Critical Decision Systems, Human-Centric AI
Speaker
Lourdu Joanna J
ASSISTANT PROFESSOR Trichy；J.J. College of Engineering and Technology

Submission Author
LETCHAGAN A Shri Venkateshwara Padmavathy Engineering College, Chennai
Rohini Mahajan CGC University, Mohali
RAKESH SINGH Department of Electronics and Communication Engineering
Pradeep Kumar A CMR College of Engineering & Technology, Hyderabad, Telangana, India
Kanchan Yadav GLA University Mathura
Lourdu Joanna J Trichy；J.J. College of Engineering and Technology
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Important Date

  • Conference Date

    Jul 30

    2026

    to

    Aug 01

    2026

  • Jul 26 2026

    Draft paper submission deadline

  • Jul 28 2026

    Registration deadline

Sponsored By
The United Societies of Science
Organized By
Kongunadu College of Engineering and Technology
Supported By
IEEE Section
IEEE Madras Section
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