開放された車両ドアを検出するための分類器のトレーニング

Japanese Patent JP7203224

B2

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a classifier to detect open vehicle doors. One of the methods includes obtaining a plurality of initial training examples, each initial training example comprising (i) a sensor sample from a collection of sensor samples and (ii) data classifying the sensor sample as characterizing a vehicle that has an open door; generating a plurality of additional training examples, comprising, for each initial training example: identifying, from the collection of sensor samples, one or more additional sensor samples that were captured less than a threshold amount of time before the sensor sample in the initial training example was captured; and training the machine learning classifier on first training data that includes the initial training examples and the additional training examples to generate updated weights for the machine learning classifier.

JP4756705	Biometrics Imaging Systems and Methods
WO/2019/087803	IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
WO/2012/137451	INFORMATION PROCESSING APPARATUS

Mao, Junhua
Tsui, Lopo
Li, Tson Tson
Walker Jr., Edward Stephen

JP2021533428A

January 12, 2023

December 23, 2019

Click for automatic bibliography generation  

Waymo LLC

G06T7/00; G06N20/00; G06V10/774; G06V10/776

JP2017162436A
JP2012146142A

US20170262727
US9987745

加藤 ジェーン 外3名,多くの画像が共有する「一般クラス」に着目した訓練画像の選択,情報処理学会 論文誌(ジャーナル) Vol.55 No.1 [online] ,日本,情報処理学会,2014年01月15日,第55巻 第1号,pp.542-552
岡谷 貴之,画像認識のための深層学習の研究動向 -畳込みニューラルネットワークとその利用法の発展-,人工知能,日本,人工知能学会,2016年03月01日,第31巻 第2号,pp.169-179

Yoshiyuki Inaba
Mutsumi Sato

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