Search Results for author: Jay A. Farrell

Found 4 papers, 1 papers with code

Outlier Accommodation for GNSS Precise Point Positioning using Risk-Averse State Estimation

1 code implementation2 Feb 2024 Wang Hu, Jean-Bernard Uwineza, Jay A. Farrell

The recently developed Risk-Averse Performance-Specified (RAPS) state estimation optimally selects measurements to minimize outlier risk while meeting a positive semi-definite constraint on performance; at present, the existing solution methods are not suitable for real-time computation and have not been demonstrated using challenging real-world data or in Real-time PPP (RT-PPP) applications.

Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications

no code implementations28 Jun 2022 Wang Hu, David Oswald, Guoyuan Wu, Jay A. Farrell

However, an analysis of the accuracy of this map tool is currently lacking in the literature.

Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data

no code implementations9 Feb 2019 Mohammad Billah, Farzana Rahman, Arash Maskooki, Michael Todd, Matthew Barth, Jay A. Farrell

Mobile Terrestrial Laser Scanning (MTLS) is the preferred data acquisition method to provide data for automated EDM development.

Information Consensus for Distributed Multi-target Tracking

no code implementations CVPR 2013 Ahmed T. Kamal, Jay A. Farrell, Amit K. Roy-Chowdhury

The estimation errors in tracking and data association, as well as the effect of naivety, are jointly addressed leading to the development of an informationweighted consensus algorithm, which we term as the Multitarget Information Consensus (MTIC) algorithm.

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