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HD-Map Based Ground Truth to Test Automated Vehicles
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 29, 2022 by SAE International in United States
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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.
CitationMartens, J., Zhong, R., Yedida, S., Alzu'bi, H. et al., "HD-Map Based Ground Truth to Test Automated Vehicles," SAE Technical Paper 2022-01-0097, 2022, https://doi.org/10.4271/2022-01-0097.
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