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VLA-MP: A Vision-Language-Action Framework for Multimodal Perception and Physics-Constrained Action Generation in Autonomous Driving. [PDF]
Sensors (Basel)Ge M +4 more
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World model-based end-to-end scene generation for accident anticipation in autonomous driving. [PDF]
Commun EngGuan Y +5 more
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Autonomous Driving of Trackless Transport Vehicles: A Case Study in Underground Mines. [PDF]
Sensors (Basel)Sun Y, Zhang L, Liu J, Xu Y, Li X.
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Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving. [PDF]
PLoS OneWang N.
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SupportingTrust in Autonomous Driving
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017Autonomous cars will likely hit the market soon, but trust into such a technology is one of the big discussion points in the public debate. Drivers who have always been in complete control of their car are expected to willingly hand over control and blindly trust a technology that could kill them.
Renate Häuslschmid +3 more
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Visual Evaluation for Autonomous Driving
IEEE Transactions on Visualization and Computer Graphics, 2022Autonomous driving technologies often use state-of-the-art artificial intelligence algorithms to understand the relationship between the vehicle and the external environment, to predict the changes of the environment, and then to plan and control the behaviors of the vehicle accordingly.
Yijie Hou +7 more
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Magnetic Resonance in Chemistry, 2016
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 in hardware; pulse sequences and automation have opened new research areas to NMR and increased the throughput of data.
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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 in hardware; pulse sequences and automation have opened new research areas to NMR and increased the throughput of data.
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Multimedia for Autonomous Driving
IEEE MultiMedia, 2019Multimedia has played an indispensable role in the success of various real-world applications, from smart healthcare to intelligent surveillance systems. In this new era of technology, one of these essential and useful applications is autonomous driving or self-driving cars.
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Specifying Autonomous Driving Scenarios
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), 2021Defects in Autonomous driving systems (ADSs) might result in catastrophic losses of lives and properties. To avoid such defects, we need to first ensure high quality requirements, which highly possibly would lead to the delivery of high-quality ADSs.
Yue Yu, Tiexin Wang, Tao Yue 0002
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Consumers’ understanding of autonomous driving
Information Technology & People, 2018PurposeThe purpose of this paper is to explore consumers’ understanding of autonomous driving by comparing perceptions of occasional drivers (ODs) and frequent drivers (FDs).Design/methodology/approachData were gathered through semi-structured interviews with 41 drivers.
Cho, Eunae, Jung, Yoonhyuk
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