Session C2b: Collaborative and Networked Navigation

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Date: Tuesday, April 25, 2023
Time: 1:45 p.m. - 5:30 p.m.
Location: Big Sur

Session Chairs:

Dr. Jason Rife Tufts University	Dr. Clark Taylor Air Force Institute of Technology

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1.	Jammer classification with Federated Learning: Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas, Electrical and Computer Engineering Dept., Northeastern University
2.	Proximity-Based Positioning Scheme with Multi-layer Privacy: Guillermo Hernandez, Gerald LaMountain, Pau Closas, Northeastern University
3.	Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models: Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew Barth, University of California, Riverside; Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Toyota Motor North America R&D
4.	A Collaborative RTK Approach to Precise Positioning for Vehicle Swarms in Urban Scenarios: Daniel Medina, German Aerospace Center (DLR); Helena Calatrava, Northeastern University; J. Manuel Castro-Arvizu, Trimble Terrassat; Pau Closas, Northeastern University; and Jordi Vilà-Valls, ISAE-SUPAERO
5.	Gaussian Process Regression for Learning Environment Impacts on Localization Accuracy of a UAV with Respect to UGV for Search Planning: Matteo De Petrillo, Derek Ross, Jason N. Gross, West Virginia University
6.	A Low-Cost Open-Source GNSS Network for Network Real-Time Kinematic Positioning: which Future and Performances?: Paolo Dabove and Vincenzo Di Pietra, Politecnico di Torino
7.	Cooperative Guidance and Navigation of UAS for Common Midpoint Radar Remote Sensing: Aabhash Bhandari, Tuan Dinh Luong, Jordan Larson, University of Alabama
8.	Flight Test Setup for Cooperative Swarm Navigation in Challenging Environments Using UWB, GNSS, and Inertial Fusion: Maarten Uijt de Haag, Mats Martens, Kevin Kotinkar, and Jakob Dommaschk Technical University of Berlin, TU Berlin

Evening Hours in Exhibit Hall 5:30 p.m. – 6:30 p.m.

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