Autonomous driving in NMR
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Chemistry"
DOI: 10.1002/mrc.4546
Abstract: The automatic analysis of NMR data has been a much‐desired endeavour for the last six decades, as it is the case with any other analytical technique. This need for automation has only grown as advances… read more here.
Keywords: autonomous driving; driving nmr; chemistry;
A survey of deep learning techniques for autonomous driving
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Field Robotics"
DOI: 10.1002/rob.21918
Abstract: The last decade witnessed increasingly rapid progress in self‐driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence (AI). The objective of this paper is to survey the… read more here.
Keywords: learning techniques; survey deep; autonomous driving; deep learning ... See more keywords
Anticipatory experience in everyday autonomous driving
Sign Up to like & getrecommendations! Published in 2020 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-020-01410-6
Abstract: In this paper, we discuss how people’s user experience (UX) of autonomous driving (AD) cars can be understood as a shifting anticipatory experience, as people experience degrees of AD through evolving advanced driver assistance systems… read more here.
Keywords: autonomous driving; everyday autonomous; experience everyday; anticipatory experience ... See more keywords
Deep learning and control algorithms of direct perception for autonomous driving
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DOI: 10.1007/s10489-020-01827-9
Abstract: We propose an end-to-end machine learning model that integrates multi-task (MT) learning, convolutional neural networks (CNNs), and control algorithms to achieve efficient inference and stable driving for self-driving cars. The CNN-MT model can simultaneously perform… read more here.
Keywords: autonomous driving; model; control algorithms; direct perception ... See more keywords
Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment
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DOI: 10.1007/s10514-017-9619-z
Abstract: This paper reports on an integrated inference and decision-making approach for autonomous driving that models vehicle behavior for both our vehicle and nearby vehicles as a discrete set of closed-loop policies. Each policy captures a… read more here.
Keywords: decision; autonomous driving; policy; changepoint ... See more keywords
Autonomous driving: cognitive construction and situation understanding
Sign Up to like & getrecommendations! Published in 2019 at "Science China Information Sciences"
DOI: 10.1007/s11432-018-9850-9
Abstract: Autonomous vehicle is a kind of typical complex artificial intelligence system. In current research of autonomous driving, the most widely adopted technique is to use a basic framework of serial information processing and computations, which… read more here.
Keywords: traffic; computing framework; mechanism; perception ... See more keywords
Autonomous Driving and Public Reason: a Rawlsian Approach
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DOI: 10.1007/s13347-021-00468-1
Abstract: In this paper, we argue that solutions to normative challenges associated with autonomous driving, such as real-world trolley cases or distributions of risk in mundane driving situations, face the problem of reasonable pluralism: Reasonable pluralism… read more here.
Keywords: driving public; public reason; normative challenges; autonomous driving ... See more keywords
Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.115030
Abstract: Abstract Autonomous driving hybrid electric vehicles can offer unprecedented opportunities for autonomous safe & energy-efficient driving. However, how to integrate energy optimization during the car-following process and vehicle safety under complex traffic flow is a… read more here.
Keywords: game; vehicle; electric vehicles; game theory ... See more keywords
Legal regulation of autonomous driving technology: Current conditions and issues in Japan
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DOI: 10.1016/j.iatssr.2019.11.009
Abstract: Abstract In Japan, the Road Transport Vehicle Act and the Road Traffic Act were revised after consideration of autonomous driving vehicles operating on public roads. These revisions have considerably reduced the legal obstacles to the… read more here.
Keywords: driving technology; technology current; regulation autonomous; technology ... See more keywords
Mind the gap: Developments in autonomous driving research and the sustainability challenge
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DOI: 10.1016/j.jclepro.2020.124087
Abstract: Scientific knowledge on autonomous-driving technology is expanding at a faster-than-ever pace. As a result, the likelihood of incurring information overload is particularly notable for researchers, who can struggle to overcome the gap between information processing… read more here.
Keywords: research; mind gap; gap developments; autonomous driving ... See more keywords
Deep clustering for weakly-supervised semantic segmentation in autonomous driving scenes
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DOI: 10.1016/j.neucom.2019.11.019
Abstract: Abstract Weakly-supervised semantic segmentation (WSSS) using only tags can significantly ease the label costing, because full supervision needs pixel-level labeling. It is, however, a very challenging task because it is not straightforward to associate tags… read more here.
Keywords: image; weakly supervised; segmentation; semantic segmentation ... See more keywords