Presentation 2018-07-20
Quantum & Classical Radar Camera for Automotive and Effect of Fog-3
Osamu Hirota,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In 40th SITA and IT workshop at March 2018, we have given the theoretical framework to describe communication channel model for the effect of dynamic turbulence and fog, which is the most important subject to sensors of self driving car. As the part 3 of this research, this paper presents a mathematical analysis for derivation of mutual coherence function which provides the propagation property of signal light. This plays an essential role in the computation for image processing including the compressive sensing technology. The theoretical framework for analyzing the dynamic turbulence is modeled based on Wiener theory.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self driving car / Quantum sensor / Dynamic turbulence / Compressive sensing
Paper # IT2018-26
Date of Issue 2018-07-12 (IT)

Conference Information
Committee IT
Conference Date 2018/7/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Yamato Kaigishitsu
Topics (in Japanese) (See Japanese page)
Topics (in English) freshman session, general
Chair Jun Muramatsu(NTT)
Vice Chair Tadashi Wadayama(Nagoya Inst. of Tech.)
Secretary Tadashi Wadayama(Nagano Pref Inst. of Tech.)
Assistant Takahiro Yoshida(Yokohama College of Commerce)

Paper Information
Registration To Technical Committee on Information Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Quantum & Classical Radar Camera for Automotive and Effect of Fog-3
Sub Title (in English) Application of Winer expansion to Tatarskii theory
Keyword(1) Self driving car
Keyword(2) Quantum sensor
Keyword(3) Dynamic turbulence
Keyword(4) Compressive sensing
1st Author's Name Osamu Hirota
1st Author's Affiliation Tamagawa University(Tamagawa Univ.)
Date 2018-07-20
Paper # IT2018-26
Volume (vol) vol.118
Number (no) IT-139
Page pp.pp.79-84(IT),
#Pages 6
Date of Issue 2018-07-12 (IT)