Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Peters Steven"'
The aim of this paper is to investigate the relationship between operational design domains (ODD), automated driving SAE Levels, and Technology Readiness Level (TRL). The first highly automated vehicles, like robotaxis, are in commercial use, and the
Externí odkaz:
http://arxiv.org/abs/2404.17044
Artificial Intelligence (AI) shows promising applications for the perception and planning tasks in autonomous driving (AD) due to its superior performance compared to conventional methods. However, inscrutable AI systems exacerbate the existing chall
Externí odkaz:
http://arxiv.org/abs/2402.10086
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems ( Early Access ) (2024) 1-10
This study investigates the impact of initial contact of drivers with an SAE Level 3 Automated Driving System (ADS) under real traffic conditions, focusing on the Mercedes-Benz Drive Pilot in the EQS. It examines Acceptance, Trust, Usability, and Use
Externí odkaz:
http://arxiv.org/abs/2312.08957
To evaluate perception components of an automated driving system, it is necessary to define the relevant objects. While the urban domain is popular among perception datasets, relevance is insufficiently specified for this domain. Therefore, this work
Externí odkaz:
http://arxiv.org/abs/2308.02266
Despite the presence of the classification task in many different benchmark datasets for perception in the automotive domain, few efforts have been undertaken to define consistent classification requirements. This work addresses the topic by proposin
Externí odkaz:
http://arxiv.org/abs/2307.14058
Having efficient testing strategies is a core challenge that needs to be overcome for the release of automated driving. This necessitates clear requirements as well as suitable methods for testing. In this work, the requirements for perception module
Externí odkaz:
http://arxiv.org/abs/2307.10873
Autor:
Zhang, Mabel M., Choi, Woen-Sug, Herman, Jessica, Davis, Duane, Vogt, Carson, McCarrin, Michael, Vijay, Yadunund, Dutia, Dharini, Lew, William, Peters, Steven, Bingham, Brian
We present DAVE Aquatic Virtual Environment (DAVE), an open source simulation stack for underwater robots, sensors, and environments. Conventional robotics simulators are not designed to address unique challenges that come with the marine environment
Externí odkaz:
http://arxiv.org/abs/2209.02862
Publikováno v:
Manufacturing Review, Vol 3, p 1 (2016)
Among the current challenges to the global automotive industry are changes in global markets leading to product variety, regulation leading to pressure for new technologies in body and powertrain, and competition by new players such as huge informati
Externí odkaz:
https://doaj.org/article/5a3541a463ac4d58877e472edb1f63db
Publikováno v:
In Clinical Neurology and Neurosurgery July 2024 242