Distance Measurement using Camera Image for Automatic Classification of Driving Scenes on Cloud
クラウドでの走行シーン自動分類に向けた車載カメラ画像による距離計測手法
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20215288
- Paper/Info type
- Proceedings (Spring)
No.64-21
- Pages
- 1-5(Total 5 p)
- Date of publication
- May 2021
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2021 JSAE Annual Congress (Spring)[Online Meeting]
Detailed Information
Author(J) | 1) 佐々木 剛志, 2) 銭 智定, 3) 浅井 大輔 |
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Author(E) | 1) Goshi Sasaki, 2) Trongmun Jiralerspong, 3) Daisuke Asai |
Affiliation(J) | 1) 日立製作所, 2) 日立製作所, 3) 日立製作所 |
Affiliation(E) | 1) Hitachi, 2) Hitachi, 3) Hitachi |
Abstract(J) | 自動運転の高度化により予期しない動作の解析が困難となるため,多様な走行シーンのデータをクラウドで収集するニーズが高い。収集データの効率的な解析には事前にシーン分類することが有効だが,膨大な工数を要する。そこで,車載カメラ画像から走行シーンを把握するために,自車両周辺の対象物の距離計測手法を提案する。 Translation |
Abstract(E) | Analyzing the unexpected operations made by the vehicle system are becoming increasingly tedious and difficult due to the sophistication of autonomous driving technology. As such, there is a high demand for driving data collection using cloud platform. However, to efficiently analyze these driving data, it is desirable to classify these data according to the driving scenarios, but this process often requires a lot of workload. In order to understand the driving scene from images, this paper proposes a method to estimate the distance of surrounding vehicles. |