PerCPS'23

Welcome to the home page of the International Workshop on Perception in Safety-Critical Cyber-Physical Systems. PerCPS'23 will collocate with CPS-IoT Week in San Antonio, Texas, USA, on May 9-12, 2023. 

This workshop focuses on the unique requirements of perception for cyber-physical systems and the challenges presented to CPS by the need to perceive the environment. While computer vision remains a critical topic for machine perception, this workshop will explore all sensing modalities: tactile, audio, visible light, infrared, ultraviolet, lidar. Although great advances in machine perception have been made over the last decade, much of that work has been driven by non-real-time and non-safety-critical applications. The design criteria for perception in safety-critical cyber-physical systems are complex: accuracy, latency, classification categories. The machine learning architectures and algorithms used to meet these requirements are similarly complex. The incorporation of machine perception subsystems into cyber-physical subsystems presents challenges in modeling, analysis, and optimization for the CPS community. This workshop will provide a venue for researchers in machine learning, perception, and cyber-physical systems to exchange viewpoints and ideas. 

Topics of interest include but are not limited to: 

• Safety characteristics for machine perception modalities. 

• Sensor fusion and safety characteristics. 

• Real-time machine perception systems. 

• Perception and control. 

• Accuracy metrics for safety-critical cyber-physical systems. 

• Diagnostics, analysis, and formal methods for perception in CPS. 

• Data sets and benchmarks.

Deadlines 

Submission: 02/28/2023 

Deadline extension: 03/05/23

Acceptance notification: 03/15/23 - 03/20/23

Acceptance notification extension: 03/20/23 - 03/25/23

Publication Information

• Accepted papers are intended to be published as an ACM proceeding.

• Submitted papers should have at most 6 pages including references, following double-column, ACM format.

• Submission site: https://percps23.hotcrp.com

•  ACM's publications policies. 

  • By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy. https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects

  • Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.

Contact Information: 

deep.samal@gmail.com, dtran30@unl.edu, mwolf@unl.edu