Zobrazeno 1 - 10
of 14
pro vyhledávání: '"John Dahl"'
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:2914-2925
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cebdb526a6e69518c518170e490419f8
https://doi.org/10.1109/tiv.2023.3253555
https://doi.org/10.1109/tiv.2023.3253555
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:9115-9125
Advanced driver assistance systems have been an active research topic for decades, for which many approaches have been developed not only to reduce the number of traffic accidents but also to increase the driver's comfort. Among the many different so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36d1a9d5c2f9ebe21f621144526066e
https://doi.org/10.1109/tits.2021.3090941
https://doi.org/10.1109/tits.2021.3090941
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 4:101-113
For the last few decades, a lot of attention has been given to intelligent vehicle systems, and in particular to automated safety and collision avoidance solutions. In this paper, we present a literature review and analysis of threat-assessment metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f322d078ba09156796320137481c9c05
https://doi.org/10.1109/tiv.2018.2886682
https://doi.org/10.1109/tiv.2018.2886682
Autor:
Tara Wenger, Jonathan Perkins, Madeleine Drusin, Michael Bindschadler, Randall Bly, Seth Friedman, Juliana Bonilla-Velez, John Dahl, Sheila Ganti, Ezgi Mercan, Erik Stuhaug, James Bennett, Zoe Nelson, Erika Lutsky, Catherine Bull, Dana Jensen, Victoria Dmyterko, Eden Palmer, William Dobyns
Publikováno v:
Genetics in Medicine. 24:S179
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a88c486dc431068294e4e4b78b7237f5
https://doi.org/10.1016/j.gim.2022.01.317
https://doi.org/10.1016/j.gim.2022.01.317
Publikováno v:
ITSC
In this paper, a path prediction model is presented and used to detect unintended lane departures caused by erroneous driving behaviors. The prediction model is inspired by the concept of a linear vector autoregressive model that is commonly used for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82caabdbd5d39cee5d6b0b70552e20f
https://doi.org/10.1109/itsc45102.2020.9294510
https://doi.org/10.1109/itsc45102.2020.9294510
Publikováno v:
ITSC
Lane departures, where the vehicle leaves the lane due to driver inattention, drowsiness, or incorrect situation assessment, are one of the most serious accident and fatality prone scenarios. To further improve traffic safety, we are asking the quest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6560a22e006c8c2bbc8075d2b25f7851
https://doi.org/10.1109/itsc.2019.8917288
https://doi.org/10.1109/itsc.2019.8917288
Autor:
John Dahl
Bachelorarbeit aus dem Jahr 2020 im Fachbereich Pädagogik - Medienpädagogik, Note: 1,3, Fachhochschule des Mittelstands, Sprache: Deutsch, Abstract: Die Bachelorarbeit beschäftigt sich mit der medialen Aufarbeitung des Holocaust und beantwortet di
Publikováno v:
CDC
This paper considers the problem of solving Quadratic Programs (QPs) in the context of robust Model Predictive Control (MPC) based on scenario trees. A Newton strategy is used in conjunction with dual decomposition, yielding a parallelizable method w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a892bd11077997c74a99fc9e373dc5
https://doi.org/10.1109/cdc.2016.7798822
https://doi.org/10.1109/cdc.2016.7798822
Autor:
John Dahl, Phil Mixter
Publikováno v:
The American Biology Teacher. 70:23-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aeea9ab45f5e5e1fac504bbadb2229c
https://doi.org/10.2307/30163189
https://doi.org/10.2307/30163189
Nationally-recognized retriever trainers John and Amy Dahl (The 10-Minute Retriever) tackle advanced training methods and problem-solving using a dog's innate strengths to compensate for its weaknesses.They discuss how dogs learn at an advanced level