Presentation 2022-06-07
Accelerating Deep Learning-based Path Planning Method on FPGAs
Keisuke Sugiura, Hiroki Matsutani,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # RECONF2022-1
Date of Issue 2022-05-31 (RECONF)

Conference Information
Committee RECONF
Conference Date 2022/6/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) CCS, Univ. of Tsukuba
Topics (in Japanese) (See Japanese page)
Topics (in English) Reconfigurable system, etc.
Chair Kentaro Sano(RIKEN)
Vice Chair Yoshiki Yamaguchi(Tsukuba Univ.) / Tomonori Izumi(Ritsumeikan Univ.)
Secretary Yoshiki Yamaguchi(NEC) / Tomonori Izumi(Toyohashi Univ. of Tech.)
Assistant Yukitaka Takemura(INTEL) / Yasunori Osana(Ryukyu Univ.)

Paper Information
Registration To Technical Committee on Reconfigurable Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Accelerating Deep Learning-based Path Planning Method on FPGAs
Sub Title (in English)
Keyword(1)
1st Author's Name Keisuke Sugiura
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Hiroki Matsutani
2nd Author's Affiliation Keio University(Keio Univ.)
Date 2022-06-07
Paper # RECONF2022-1
Volume (vol) vol.122
Number (no) RECONF-60
Page pp.pp.1-6(RECONF),
#Pages 6
Date of Issue 2022-05-31 (RECONF)