Presentation 2019-10-18
From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving
Hiroki Hiraoka, Atsushi Imiya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The deep convolutional neural networks (DCNNs) require data to supervise the network structures. A semi-automatic data generation method for supervision is proposed. Using generated data sequence semantic labelling for autonomous driving is achieved. The methodology substitutes the expert craft works for data generation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Convolitional Neural Networks / U-net / Multiresolution analysis / Scale space analysis / Pyramid transform / Dilation filtering / Semantic labelling
Paper # PRMU2019-38
Date of Issue 2019-10-11 (PRMU)

Conference Information
Committee PRMU
Conference Date 2019/10/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yoichi Sato(Univ. of Tokyo)
Vice Chair Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT)
Secretary Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX)
Assistant Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving
Sub Title (in English)
Keyword(1) Deep Convolitional Neural Networks
Keyword(2) U-net
Keyword(3) Multiresolution analysis
Keyword(4) Scale space analysis
Keyword(5) Pyramid transform
Keyword(6) Dilation filtering
Keyword(7) Semantic labelling
1st Author's Name Hiroki Hiraoka
1st Author's Affiliation Chiba University(Chiba Univ.)
2nd Author's Name Atsushi Imiya
2nd Author's Affiliation Chiba University(Chiba Univ.)
Date 2019-10-18
Paper # PRMU2019-38
Volume (vol) vol.119
Number (no) PRMU-235
Page pp.pp.35-40(PRMU),
#Pages 6
Date of Issue 2019-10-11 (PRMU)