HD-Map Based Ground Truth to Test Automated Vehicles FEV North America Incorporated

Format:

Book

Conference/Event

Author/Creator:

Martens, Joshua, author.

Contributor:

Alzu'bi, Hamzeh

Sirkar, Deshna

Tasky, Tom

Yedida, Siddhartha

Zhong, Ren

Conference Name:

WCX SAE World Congress Experience (2022-04-05 : Detroit & Online, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2022-01-0097

Access Restriction:

Restricted for use by site license