Thrust Areas

OpenCAV collaborates with numerous research groups across all Clemson campuses to support research in numerous areas

· Design, Sensing, Control and Learning for Autonomy

· Resilience and Robustness in networked CPS Systems

· Security, Privacy and Trust in CPS Systems

· Human Factors in CAV Systems

· Real-time Simulation, Mixed and Augmented Reality

· Energy Efficiency for CAV Systems

· Education

Externally Funded Grants for Participating Research Faculty

NSF-CRII-1755771; $174,989.00; 03/18-03/20; Jia (PI); ‘CRII: CPS: Bilateral Adaptation between Models for Human-Perceived Safety/Comfort and Autonomous Driving Controllers’

Benchmark differences between models of human driver models and autonomous driving controllers and investigate bilateral adaptation to improve the human-perceived safety and comfort of autonomous vehicles.

NSF-CNS-1544910; $800,000; 10/15-09/18,; Pisu (PI), Brooks, Martin; ‘CPS: Synergy: Security of Distributed Cyber-Physical Systems with Connected Vehicle Applications’

Support cyber security research for the development of more secure, scalable and reliable future networked CPSs by accelerating the adoption of threat identification and attack resilient control countermeasures at the system and network level.

NSF-CNS-1531127; $614,000; 9/15-12/18; Martin (PI), Hu, Chowdhury, Wang; ‘US Ignite: Track 1: Enabling Connected Vehicle Applications through Advanced Network Technology’

Vehicular testbed and engendered heterogeneous wireless infrastructure will permit testing of key technologies to enable CV safety critical applications.

NSF-IIS-1319084; $458,000; 12/13-12/18; Krovi (PI); ‘RI: Small: Dynamic Payload Transport and Manipulation by Teams of Cooperating Mobile Robotic-Cranes’

Simulation framework will benchmark the model-based-simulation and hardware-in-the-loop validation techniques developed (ROS/Gazebo/Unity)

NSF-CMMI-1454139; $500,000.00; 01/15-01/20; Yue Wang (PI); ‘CMMI: CAREER: Cooperative Control and Decision-Making for Human-Agent Collaborative Teams’

Test, validate, and improve human-centered control design for autonomous driving by collecting both objective performance data and subjective human ratings through human-in-the-loop experiments.

NSF-CICI-1738902; $1,015,464; 17-20; Wang (PI), Post, KC Wang, Venayagamoorthy; ‘CICI: RSARC: Secure Time for Cyberinfrastructure Security’

Benchmark realworld timing challenges (malicious or imperfect communication) to develop robust, resilient secure GPS positioning solutions.

NSF-CMMI-1824014; $111,568; 18-19, Yongxiang Wang (PI); ‘EAGER: Control Theory for Real-time Privacy-preserving Consensus Control of Engineering Networks’

Validate the developed real-time control-theoretic privacy-preserving solutions for distributed networked autonomous agent collectives.

DOE EERE 1629-1755; $1.16M; 09/17-09/19; Vahidi (PI), Ayalew, Jia; ‘Boosting Energy Efficiency of Heterogeneous Connected Automated Vehicle (CAV) Fleets via Anticipative and Cooperative Vehicle Guidance’

Vehicle-in-the-loop experimental framework to validate the performance of energy saving algorithms.

NSF-CNS-1725573; $994,161; 9/17–8/20; Apon, Gemill, Perahia, Chowdhury, Wang; ‘MRI: Acquisition of a Cyberinstrument for Interdisciplinary Computational Science and Engineering’

Support a broad range of data-enabled science and research training activities including Quality and Scalability of Topic Models; Multigrid and Multiscale Optimization for Machine Learning and Networks.

NSF-CNS-1647361; $151,074; 16-18; Safro, Chowdhury; ‘EAGER: Feedback-based Network Optimization for Smart Cities’

Explore relevant latent factors and create cost-sensitive machine learning based classifiers for wireless-networks and optimally-reconfigure network design.

USDOT TIER 1-UTC; $7M; 11/16-10/21; Chowdhury (PI); ‘Center for Connected Multimodal Mobility (C2M2)’

Validate CAV applications developed by the researchers funded through the Center.