Road Surface Marking Image Generation for Automotive Camera Recognition System Verification
車両カメラ認識システム検証のための道路白線画像生成シミュレーション
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20225175
- Paper/Info type
- Proceedings (Spring)
No.39-22
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2022
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2022 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) 千葉原 剛, 2) 藤原 翔, 3) 川端 茉莉, 4) Killian Hutchinson |
|---|---|
| Author(E) | 1) Takeshi Chibahara, 2) Sho Fujiwara, 3) Mari Kawabata, 4) Killian Hutchinson |
| Affiliation(J) | 1) 本田技研工業, 2) 本田技研工業, 3) アンシス･ジャパン, 4) アンシス･ジャパン |
| Affiliation(E) | 1) Honda Motor, 2) Honda Motor, 3) ANSYS Japan, 4) ANSYS Japan |
| Abstract(J) | カメラ認識のシステムの検証の為、道路白線をカメラで撮像するプロセスを計算より求めるSimulatorを本研究にて構築した． 輝度値の計算プロセスにおける課題として計測結果から輝度値の予測に影響のある要因を特定し、Simulatorへ反映した． 結果、道路白線輝度予測誤差2～23％の結果を得た． Translation |
| Abstract(E) | To validate the camera perception system, we studied a method to simulate the process of imaging the road white line with a camera. The problem in the process of calculating luminance values is the error between the results of actual measurements and the calculated luminance values. We identified the factors that affect the prediction of luminance values from the measurement results and applied the resulting characteristics to the simulator. As a result of our research, we found that the prediction error of the road white line luminance was between 1 and 23%. |
