HD-Map Based Ground Truth to Test Automated Vehicles
- 提供方法
- 版元よりダウンロードリンクを連絡
- 形態
- 価格
- 一般価格(税込)：￥6,600 会員価格(税込)：￥5,280
- 文献・情報種別
- SAE Paper
No.2022-01-0097
- 掲載ページ
- 1-5(Total 5 p)
- 発行年月
- 2022年 3月
- 出版社
- SAE International
- 言語
- 英語
- イベント
- WCX SAE World Congress Experience 2022
書誌事項
| 著者（英） | 1) Joshua Martens, 2) Ren Zhong, 3) Siddhartha Yedida, 4) Hamzeh Alzu'bi, 5) Tom Tasky, 6) Deshna Sirkar |
|---|---|
| 勤務先（英） | 1) FEV North America Inc., 2) Wayne State University, 3) FEV North America Inc., 4) FEV North America Inc., 5) FEV North America Inc., 6) FEV North America Inc. |
| 抄録（英） | Over the past decade there has been significant development in Automated Driving (AD) with continuous evolution towards higher levels of automation. Higher levels of autonomy increase the vehicle Dynamic Driving Task (DDT) responsibility under certain predefined Operational Design Domains (in SAE level 3, 4) to unlimited ODD (in SAE level 5). The AD system should not only be sophisticated enough to be operable at any given condition but also be reliable and safe. Hence, there is a need for Automated Vehicles (AV) to undergo extensive open road testing to traverse a wide variety of roadway features and challenging real-world scenarios. There is a serious need for accurate Ground Truth (GT) to locate the various roadway features which helps in evaluating the perception performance of the AV at any given condition. The results from open road testing provide a feedback loop to achieve a mature AD system. This paper presents an approach of using High Definition (HD) map data of various roadway features alongside the proposed test route. This was achieved by developing an algorithm that takes the GPS coordinates of the proposed test route as an input to generate the accurate location of all the roadway feature attributes as an output. 翻訳 |
