Zobrazeno 1 - 10
of 1 554
pro vyhledávání: '"Donzella, A."'
Datasets are essential for training and testing vehicle perception algorithms. However, the collection and annotation of real-world images is time-consuming and expensive. Driving simulators offer a solution by automatically generating various drivin
Externí odkaz:
http://arxiv.org/abs/2404.09111
Diffusion Models (DMs) have achieved State-Of-The-Art (SOTA) results in the Lidar point cloud generation task, benefiting from their stable training and iterative refinement during sampling. However, DMs often fail to realistically model Lidar raydro
Externí odkaz:
http://arxiv.org/abs/2404.05505
Autor:
Wang, Yiting, Zhao, Haonan, Gummadi, Daniel, Dianati, Mehrdad, Debattista, Kurt, Donzella, Valentina
Precise situational awareness is required for the safe decision-making of assisted and automated driving (AAD) functions. Panoptic segmentation is a promising perception technique to identify and categorise objects, impending hazards, and driveable s
Externí odkaz:
http://arxiv.org/abs/2402.15469
Simulation models for perception sensors are integral components of automotive simulators used for the virtual Verification and Validation (V\&V) of Autonomous Driving Systems (ADS). These models also serve as powerful tools for generating synthetic
Externí odkaz:
http://arxiv.org/abs/2312.15817
State-of-The-Art (SoTA) image captioning models often rely on the Microsoft COCO (MS-COCO) dataset for training. This dataset contains annotations provided by human annotators, who typically produce captions averaging around ten tokens. However, this
Externí odkaz:
http://arxiv.org/abs/2306.11593
Autor:
Heather Greenlee, Eileen Rillamas-Sun, Rachel L. Yung, Sofia Cobos, Sidney M. Donzella, Yuhan Huang, Liza Schattenkerk, Katherine Ueland, Matthew VanDoren, Samantha A. Myers, Gino Garcia, Theresa King, Margarita Santiago-Torres, Chongzhi Di, Neelendu Dey, Katherine A. Guthrie, Nancy E. Davidson
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract We tested the feasibility and preliminary efficacy of an online diet and physical activity program for women with early-stage breast cancer who had completed surgery, chemotherapy, and radiation therapy (ongoing endocrine therapy allowed). P
Externí odkaz:
https://doaj.org/article/4db7270d258646669dfe6c857bfa31f4
Publikováno v:
Reumatismo, Vol 76, Iss 3 (2024)
Objective. The journey to a diagnosis of spondyloarthritis (SpA) can be difficult for women, who often experience delays in receiving the correct diagnosis as their symptoms are frequently misinterpreted due to other conditions like osteoarthritis, f
Externí odkaz:
https://doaj.org/article/a2d8924752d748919cb289288f5ca52d
Autor:
Donzella, Sidney M.1 (AUTHOR) sdonzell@fredhutch.org, Masters, Matthew2 (AUTHOR), Phipps, Amanda I.1,3 (AUTHOR), Patel, Alpa V.2 (AUTHOR), Zhong, Charlie2 (AUTHOR)
Publikováno v:
PLoS ONE. 8/16/2024, Vol. 19 Issue 8, p1-11. 11p.
Publikováno v:
IEEE Access, Vol 12, Pp 22671-22686 (2024)
Assisted and automated driving systems critically depend on high-quality sensor data to build accurate situational awareness. A key aspect of maintaining this quality is the ability to quantify the perception sensor degradation through detecting diss
Externí odkaz:
https://doaj.org/article/37b0d891ebe14b8d94e4896a97717d18
Autor:
Marianna Tosato, Andrea Gandini, Steffen Happel, Marine Bas, Antonietta Donzella, Aldo Zenoni, Andrea Salvini, Alberto Andrighetto, Valerio Di Marco, Mattia Asti
Publikováno v:
EJNMMI Radiopharmacy and Chemistry, Vol 8, Iss 1, Pp 1-15 (2023)
Abstract Background Silver-111 is a promising β −-emitting radioisotope with ideal characteristics for targeted radionuclide therapy and associated single photon emission tomography imaging. Its decay properties closely resemble the clinically est
Externí odkaz:
https://doaj.org/article/16ab18345d2c409e9d4bc244892088e4