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Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2019.02.032
Abstract: Abstract In this work, an advanced range estimation method based on experimental test data including environmental factors and dynamic vehicle parameters with driver and road type predictions is proposed for electric vehicles. The focus point…
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Keywords:
method;
estimation method;
range;
machine learning ... See more keywords
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Published in 2017 at "IET electrical systems in transportation"
DOI: 10.1049/iet-est.2015.0052
Abstract: Range anxiety is an obstacle to the acceptance of electric vehicles (EVs), caused by drivers’ uncertainty regarding their vehicle's state of charge (SoC) and the energy required to reach their destination. Most estimation methods for…
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Keywords:
estimation;
environmental conditions;
range;
vehicle ... See more keywords
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Published in 2017 at "AIP Advances"
DOI: 10.1063/1.4993945
Abstract: With the impact of serious environmental pollution in our cities combined with the ongoing depletion of oil resources, electric vehicles are becoming highly favored as means of transport. Not only for the advantage of low…
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Keywords:
electric vehicles;
range estimation;
driving range;
energy ... See more keywords
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1
Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1822302
Abstract: ABSTRACT The home range of an animal describes the geographic area where this individual spends most of the time while doing its usual activities. From a statistical viewpoint, the problem of home range estimation can…
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Keywords:
home;
home range;
range estimation;
selection ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2679724
Abstract: The beat radio interferometry (BRI) is a novel ranging scheme that achieves high accuracy with low-cost devices. A major problem with BRI is the lack of an efficient range estimation method that is valid in…
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Keywords:
beat radio;
efficient range;
estimation;
range estimation ... See more keywords
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Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2756076
Abstract: In this letter, we address adaptive radar detection of point-like targets in Gaussian clutter with an unknown covariance matrix. To this end, we first exploit the symmetrically structured power spectral density of the clutter to…
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Keywords:
point like;
detection;
range estimation;
like targets ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3146023
Abstract: The problem of range estimation based on noisy measurements with phase ambiguity can be solved using signals across multiple frequencies by existing algorithms based on either the Chinese Remainder Theorem or lattice theory. The performances…
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Keywords:
estimation;
phase ambiguity;
lattice algorithm;
range estimation ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3173150
Abstract: In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation using frequency diverse coprime array (FDCA). By incorporating the coprime array structure and coprime frequency offsets, a two-dimensional space-frequency virtual difference…
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Keywords:
problem;
frequency;
doa range;
estimation ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3207588
Abstract: Light detection and ranging (LiDAR) is the key sensor behind the 3D perception of self-driving vehicles. The range, precision and accuracy of a LiDAR sensor mainly depend on how each received pulse is captured, sampled…
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Keywords:
time;
estimation method;
range;
estimation ... See more keywords
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Published in 2023 at "Optics letters"
DOI: 10.1364/ol.487000
Abstract: Automotive light detection and ranging (LiDAR) requires accurate and computationally efficient range estimation methods. At present, such efficiency is achieved at the cost of curtailing the dynamic range of a LiDAR receiver. In this Letter,…
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Keywords:
range;
lidar;
range estimation;
machine learning ... See more keywords