First Workshop on CyberPhysical Systems for Emergency Response

Colocated with CPS-IOT Week 2022

Important Update (24 Feb 2022): Despite the best efforts of the whole organizing committee, the tail of the pandemic is preventing us from running CPS-IoT Week with an in-person component, as we planned originally. CPS-IoT Week will therefore run as a virtual event. Opting for this choice instead of a hybrid event was a tough decision where we had to strike a balance among several constraints. Detailed information, including registration options, will be available shortly on the website of CPS-IoT Week and of all its conferences and related events

SCOPE

Emergency responders operate in dangerous conditions. They need to deploy rapidly to an event, and make decisions under stressful and information-limited conditions, at risk to themselves. Advances in autonomous systems e.g. location, semantics, vital sign monitoring, robotic exploration, high level situational awareness, can help to provide more information, both in real-time, and also for post-event reporting/analysis. This half-day workshop seeks to bring an interested community together to foster interaction, collaboration and participation in this important area.

Programme

All times are Milan local time (CEST)

14:00 Opening and Welcome

14:15 Keynote: Professor Anthony Rowe (CMU)

15:15 Break

15:30 Paper Session 1

#3: "A 360-Degree Video Analytics Service for In-Classroom Firefighter Training"

Ayush Sarkar (University of Illinois at Urbana-Champaign); Anh Nguyen, Zhisheng Yan (George Mason University); Klara Nahrstedt (University of Illinois at Urbana-Champaign)

#4: "Autonomous Aerial Mapping and its Applications for Emergency Response"

Rowan Border, Jonathan D. Gammell (University of Oxford)

#1: "Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Indoor Positioning"

Zhuangzhuang Dai (University of Oxford); Muhamad Risqi U. Saputra (Monash University Indonesia); Chris Xiaoxuan Lu (University of Edinburgh); Vu Tran (University of Oxford); L. N. S. Wijayasingha, M. Arif Rahman, John A. Stankovic (University of Virginia); Andrew Markham, Niki Trigoni (University of Oxford)

16:30 Break

16:45 Paper Session 2

#5: "Providing Application Access to Voice Streams: Enhancing PTT Services for Emergency Response"

Jiachen Chen (WINLAB, Rutgers University); K. K. Ramakrishnan (University of California, Riverside)

#6: "Designing Decision Support Systems for Emergency Response: Challenges and Opportunities"

Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade (Vanderbilt University); Hemant Purohit (George Mason University); Meiyi Ma, Ayan Mukhopadhyay, Abhishek Dubey (Vanderbilt University)

#7: "FUSED: Fusing Social Media Stream Classification Techniques for Effective Disaster Response"

Viyom Mittal, Hongmiao Yu, K. K. Ramakrishnan (University of California, Riverside)

#2: "On Edge Coordination in Highly Dynamic Cyber-Physical Systems for Emergency Response"

Amran Haroon, Mohammad Sagor (Texas A&M University); Maxwell Maurice (NIST); Liuyi Jin, Radu Stoleru (Texas A&M University); Roger Blalock (NIST)

17:45 Break

18:00 Panel: Next Steps for CPS-ER

18:30 Closing

Call For Papers

First responders have to rapidly react and deploy to challenging situations under limited information. This could be a collapsed building, a smoke or dust filled environment, a flooded tunnel, or a foggy mountainside. Challenges could include:

GPS denied environments
Lack of access to communication infrastructure
Limited communication bandwidth (e.g. voice channel)
Limited deployment time (heat/breathing air constraints)
Physical exertion
No, or inaccurate, floorplan
Hazards (fire, gas leaks, toxins, wires, collapsed structures)
Exploration of areas inaccessible to humans
Limited information at command point

We solicit submissions to this emerging field to prepare an engaging and exciting workshop, that will draw on expertise from academia, industry, and first responders themselves. In particular, we encourage results gathered from realistic conditions (simulated or actual response) in order to ground technical proposals. Demonstrations of proposed systems are particularly welcomed.

Suitable directions could include, but are not limited to:

Wearable sensors for vital signs and emotion/stress detection
Techniques for mapping, tracking and localization
Techniques for object identification and semantic classification
Techniques for processing data from the scene (e.g. machine learning of bodycam images/video, NLP decoding of dialog)
IoT approaches to providing communication and sensing coverage
Robotic approaches for exploration, mapping and assistance
Fusion of sensing information to provide higher level situation awareness

Submission Instructions

Submitted papers must contain at most 6 pages, including all figures, tables, and references. Submissions are required to comply with the guidelines for IEEE conference manuscripts. All submissions must be written in English and should contain the authors' names, affiliations, and contact information.

Authors of accepted papers are expected to present their work in a plenary session as part of the main workshop program.

Submit papers via hotcrp: https://cps-er22.hotcrp.com/

Important Dates

Paper Submission Deadline: ~~February 4, 2022~~ February 21, 2022 (Extended!)
Paper Notification: ~~February 28, 2022~~ March 3, 2022
Camera Ready: March 7, 2022
Workshop: May 3, 2022 (~~Held in Milano, Italy,~~ and virtually)

KEYNOTE TALK

Professor Anthony Rowe, CMU

We are delighted to have Professor Anthony Rowe from CMU to deliver the keynote to the workshop.

Title: First Responder Localization: Where are we? Where are we going?

Abstract: Over 300 years ago, an English carpenter realized that the key to safely navigating the ocean was being able to precisely measure time. Since then, the pursuit of better timing and localization has continued to push the limits of technology resulting in systems like GPS and our most sophisticated scientific instruments. Our new challenge in localization is providing coverage for indoor spaces where barriers attenuate and scatter radio signals. Precise indoor localization has the potential to enable applications ranging from asset tracking, first responder (e911) support, indoor navigation, and augmented reality for enhanced situational awareness.

In this talk, I will discuss the challenges and recent techniques used for GPS-denied localization in the context of disaster response. This will include a chronology of several systems that have evolved from beacon-based (infrastructure heavy) approaches to completely infrastructure-free techniques that require zero on-site setup. This will touch on ranging and sensing technologies including ultrasonic, UWB, LIDAR and more recently mmWave. Finally, I will discuss where we are with respect to future indoor localization systems that will inevitably be heterogeneous, opportunistic, and self-configuring to support an accurate and cost-effective indoor positioning ecosystem.

Bio: Anthony Rowe is the Siewiorek and Walker Family Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University. His research interests are in networked real-time embedded systems with a focus on wireless communication. He has worked on topics including large-scale sensing for critical infrastructure monitoring, indoor localization, building energy-efficiency and technologies for microgrids. His most recent work has looked at connecting embedded sensing systems with mixed reality and spatial computing platforms. He is currently the director of the SRC/DARPA sponsored CONIX Research Center which spans seven Universities with the goal of exploring future distributed computing architectures. His past work has led to dozens of hardware and software systems, seven best paper awards, talks at venues like the World Economic Forum in Davos and several widely adopted open-source research platforms. He earned a Ph.D in Electrical and Computer Engineering from CMU in 2010, received the Lutron Joel and Ruth Spira Excellence in Teaching Award in 2013, the CMU CIT Early Career Fellowship and the Steven Fenves Award for Systems Research in 2015 and the Dr. William D. and Nancy W. Strecker Early Career chair in 2016.

Programme Committee

Luca Davoli, University of Parma, Italy

Xiaoxuan (Chris) Lu, University of Edinburgh, UK

Ronald Clark, Imperial College, UK

Niki Trigoni, University of Oxford, UK

Jack Stankovic, University of Virginia, USA

Andrew Markham, University of Oxford, UK

Organizers

NIKI

TRIGONI

Professor of Computer Science,

University of Oxford

JOHN A.

STANKOVIC

BP America Professor

University of Virginia

ANDREW

MARKHAM

Professor of Computer Science

University of Oxford

Contact: andrew.markham <at> cs.ox.ac.uk

FUNDING SUPPORT

Partial support for workshop provided by:

NIST (USA)

70NANB17H185

EPSRC ACE-OPS

EP/S030832/1

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