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- Anderson, Christopher J., et al.
(author)
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Response to Comment on "Estimating the reproducibility of psychological science"
- 2016
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 351:6277
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Journal article (other academic/artistic)abstract
- Gilbert et al. conclude that evidence from the Open Science Collaboration's Reproducibility Project: Psychology indicates high reproducibility, given the study methodology. Their very optimistic assessment is limited by statistical misconceptions and by causal inferences from selectively interpreted, correlational data. Using the Reproducibility Project: Psychology data, both optimistic and pessimistic conclusions about reproducibility are possible, and neither are yet warranted.
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- Antonakoglou, Konstantinos, et al.
(author)
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On the needs and requirements arising from connected and automated driving
- 2020
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In: Journal of Sensor and Actuator Networks. - : MDPI AG. - 2224-2708. ; 9:2
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Journal article (peer-reviewed)abstract
- Future 5G systems have set a goal to support mission-critical Vehicle-to-Everything (V2X) communications and they contribute to an important step towards connected and automated driving. To achieve this goal, the communication technologies should be designed based on a solid understanding of the new V2X applications and the related requirements and challenges. In this regard, we provide a description of the main V2X application categories and their representative use cases selected based on an analysis of the future needs of cooperative and automated driving. We also present a methodology on how to derive the network related requirements from the automotive specific requirements. The methodology can be used to analyze the key requirements of both existing and future V2X use cases.
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3. |
- Cordes, Kai, et al.
(author)
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Radio-Based Positioning and Video-Based Positioning
- 2021
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In: Cellular V2X for Connected Automated Driving. - : Wiley. ; , s. 223-249
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Book chapter (other academic/artistic)abstract
- This chapter provides an overview of state-of-art radio- and image-based positioning tailored to the localization of connected autonomous vehicles. It evaluates the achievable accuracy of video-based vehicle positioning. Therefore, the accuracy achieved in the 5GCAR Lane Merge Coordination use case, using a set of monocular cameras for vehicle positioning, is compared to the accuracy achieved in literature. The chapter addresses the technology and performance requirements of legacy solutions along with the details of time-based, angular-based, and video-based positioning. Some of the proposed methods closely follow the long term evolution and the new radio standards; others show more innovative solutions that can achieve a high level of accuracy. Video-based positioning requires additional infrastructure (camera installation), but the camera locations are flexible. In the 5GCAR project, a mast with 10 m height is chosen for installation. Finally, the chapter concludes with a comprehensive set of simulations highlighting the pros and cons of each solution.
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