Scipediacontent: Scipediacontent moved page Draft Content 239436359 to Holder et al 2017a

2021-02-01T21:13:59Z

Scipediacontent moved page Draft Content 239436359 to Holder et al 2017a

Scipediacontent: Created page with " == Abstract == urate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects suc..."

2021-02-01T21:13:54Z

Created page with " == Abstract == urate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects suc..."

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== Abstract ==

urate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects such as multipath reflections, interference, reflective surfaces, discrete cells, and attenuation. Detailed radar simulations based on physical principles exist but are computationally intractable for realistic automotive scenes. This paper describes a methodology for the construction of stochastic automotive radar models based on deep learning with adversarial loss connected to real-world data. The resulting model exhibits fundamental radar effects while remaining real-time capable.

Comment: IEEE Intelligent Vehicles Symposium 2017. Accepted for plenary presentation

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1701.09180 http://arxiv.org/abs/1701.09180]

* [http://arxiv.org/pdf/1701.09180 http://arxiv.org/pdf/1701.09180]

* [http://xplorestaging.ieee.org/ielx7/7987634/7995688/07995697.pdf?arnumber=7995697 http://xplorestaging.ieee.org/ielx7/7987634/7995688/07995697.pdf?arnumber=7995697],
: [http://dx.doi.org/10.1109/ivs.2017.7995697 http://dx.doi.org/10.1109/ivs.2017.7995697]

* [https://dblp.uni-trier.de/db/journals/corr/corr1701.html#WheelerHWK17 https://dblp.uni-trier.de/db/journals/corr/corr1701.html#WheelerHWK17],
: [https://arxiv.org/abs/1701.09180 https://arxiv.org/abs/1701.09180],
: [https://ieeexplore.ieee.org/document/7995697 https://ieeexplore.ieee.org/document/7995697],
: [https://ui.adsabs.harvard.edu/abs/2017arXiv170109180W/abstract https://ui.adsabs.harvard.edu/abs/2017arXiv170109180W/abstract],
: [http://ieeexplore.ieee.org/document/7995697 http://ieeexplore.ieee.org/document/7995697],
: [http://tubiblio.ulb.tu-darmstadt.de/90524 http://tubiblio.ulb.tu-darmstadt.de/90524],
: [https://doi.org/10.1109/IVS.2017.7995697 https://doi.org/10.1109/IVS.2017.7995697],
: [https://academic.microsoft.com/#/detail/2583716065 https://academic.microsoft.com/#/detail/2583716065]

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Holder et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 239436359 to Holder et al 2017a

Scipediacontent: Created page with " == Abstract == urate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects suc..."