In this paper, we propose a sampling-based policy iteration for optimal planning under temporal logic constraints. The method integrates approximate optimal control, importance sampling, and formal methods. For a subc...
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—In this letter, the channel estimation problem is studied for wireless communication systems assisted by large intelligent surface. Due to features of assistant channel, channel estimation (CE) problem for the inves...
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In this text, results of a 0:35 terahertz (THz) dynamic aperture imaging approach are presented. The experiments use an optical modulation approach and a single pixel detector at a stand-off imaging distance of ≈1m. ...
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Cyberspace entered in our lives for years, in all the domain areas of modern societies, since gamming and fun, from sport information to political and cultural news, scientific dissemination, governmental and public d...
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Further growth in renewable energy and planned electrification and decentralization of transport and heating loads in future power systems will result in a more complex unit commitment problem (UCP). This paper propos...
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The modeling and simulation community in aviation is in search of standardization in simulation scenario definition. While the System Entity Structure (SES) ontology promises an effective formal means of domain modeli...
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The recent advancement on wearable physiological sensors supports the development of real-time diagnosis in preventive medicine that demands various signal processing techniques to enable the extraction of the vital s...
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BMC Materials is a new, community-focussed venue for all publishable research across the broad discipline of materials science. It joins the mature and reputable BMC Series of journals, adhering to the same standards ...
BMC Materials is a new, community-focussed venue for all publishable research across the broad discipline of materials science. It joins the mature and reputable BMC Series of journals, adhering to the same standards of publishing and the ethos of open research set by the Series. Together with its sister journals BMC Chemical engineering, BMC Biomedical engineering, BMC Energy and BMC Chemistry, BMC Materials furthers the BMC Series’ expansion into the physical sciences and engineering.
The riseofmodeling and simulation has been phenomenalin aviationasa swift, accurate, and cost-effective method for experimentation and training. However, there still exists a lack of common understanding and standardi...
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Predicting lane-changing intentions has long been a very active area of research in the autonomous driving community. However, most of the literature has focused on individual vehicles and did not consider both the ne...
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ISBN:
(纸本)9781538644539
Predicting lane-changing intentions has long been a very active area of research in the autonomous driving community. However, most of the literature has focused on individual vehicles and did not consider both the neighbor information and the accumulated effects of vehicle history trajectories when making the predictions. We propose to apply a surrounding-aware LSTM algorithm for predicting the intention of a vehicle to perform a lane change that takes advantage of both vehicle past trajectories and their neighbor's current states. We trained the model on real-world lane changing data and were able to show in simulation that these two components can lead not only to higher accuracy, but also to earlier lane-changing prediction time, which plays an important role in potentially improving the autonomous vehicle's overall performance.
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