Hong, Jungseok, Fulton, Michael, Orpen, Kevin, Barthelemy, Kimberly, Berlin, Keara, and Sattar, Junaed. A Quantitative Evaluation of Bathymetry-Based Bayesian Localization Methods for Autonomous Underwater Robots. Retrieved from https://par.nsf.gov/biblio/10654611. IEEE Journal of Oceanic Engineering 50.2 Web. doi:10.1109/JOE.2025.3535598.

Hong, Jungseok, Fulton, Michael, Orpen, Kevin, Barthelemy, Kimberly, Berlin, Keara, & Sattar, Junaed. A Quantitative Evaluation of Bathymetry-Based Bayesian Localization Methods for Autonomous Underwater Robots. IEEE Journal of Oceanic Engineering, 50 (2). Retrieved from https://par.nsf.gov/biblio/10654611. https://doi.org/10.1109/JOE.2025.3535598

Hong, Jungseok, Fulton, Michael, Orpen, Kevin, Barthelemy, Kimberly, Berlin, Keara, and Sattar, Junaed. "A Quantitative Evaluation of Bathymetry-Based Bayesian Localization Methods for Autonomous Underwater Robots". IEEE Journal of Oceanic Engineering 50 (2). Country unknown/Code not available: IEEE. https://doi.org/10.1109/JOE.2025.3535598. https://par.nsf.gov/biblio/10654611.

@article{osti_10654611,
place = {Country unknown/Code not available}, title = {A Quantitative Evaluation of Bathymetry-Based Bayesian Localization Methods for Autonomous Underwater Robots}, url = {https://par.nsf.gov/biblio/10654611}, DOI = {10.1109/JOE.2025.3535598}, abstractNote = {Not Available}, journal = {IEEE Journal of Oceanic Engineering}, volume = {50}, number = {2}, publisher = {IEEE}, author = {Hong, Jungseok and Fulton, Michael and Orpen, Kevin and Barthelemy, Kimberly and Berlin, Keara and Sattar, Junaed}, }