Title:
１つ又は複数のニューラル・ネットワークを使用した視線検出
Document Type and Number:
Japanese Patent JP7403293
Kind Code:
B2
Abstract:
Apparatuses, systems, and techniques are described to determine locations of objects using images including digital representations of those objects. In at least one embodiment, a gaze of one or more occupants of a vehicle is determined independently of a location of one or more sensors used to detect those occupants.
Inventors:
Fen Fu
Niranja Abadhanam
Uchuoren
Sujay Yadawadkar
Saktabel Shivaraman
Hyron Jean
Shwe Wu
Niranja Abadhanam
Uchuoren
Sujay Yadawadkar
Saktabel Shivaraman
Hyron Jean
Shwe Wu
Application Number:
JP2019216587A
Publication Date:
December 22, 2023
Filing Date:
November 29, 2019
Export Citation:
Assignee:
Nvidia Corporation
International Classes:
G06T7/00; G06N3/08; G06N20/00
Domestic Patent References:
| JP201928843A | ||||
| JP2013143012A | ||||
| JP2005267258A |
Foreign References:
| WO2018000037A1 |
Other References:
白井了, 外5名,“ドライバの運転状態検知のための視線方向の検出”,電子情報通信学会技術研究報告,日本,社団法人電子情報通信学会,2003年11月14日,第103巻, 第455号,p.67-72
Sourabh Vora, 外2名,"On generalizing driver gaze zone estimation using convolutional neural networks",2017 IEEE Intelligent Vehicles Symposium (IV),2017年06月14日,p.849-854
Sourabh Vora, 外2名,"On generalizing driver gaze zone estimation using convolutional neural networks",2017 IEEE Intelligent Vehicles Symposium (IV),2017年06月14日,p.849-854
Attorney, Agent or Firm:
Patent Attorney Corporation Asamura Patent Office
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