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高级驾驶辅助系统(ADAS)摄像头系统评估参考平台。

Reference Platform for ADAS Camera System Evaluation.

作者信息

Rövid András, Vincze Zsolt, Pálinkás Tamás, Kocsis Mihály, Serrano Viktor, Szalay Zsolt

机构信息

Department of Automotive Technologies, Budapest University of Technology and Economics, Stoczek Str. 6, 1111 Budapest, Hungary.

Robert Bosch Kft., Gyömrői Str. 104, 1103 Budapest, Hungary.

出版信息

Sensors (Basel). 2025 Mar 8;25(6):1690. doi: 10.3390/s25061690.

DOI:10.3390/s25061690
PMID:40292780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11945887/
Abstract

Advanced driving assistance systems (ADASs) are critical for automotive safety. They rely on various sensors (especially with an increasing reliance on visual sensors to meet evolving safety standards) to capture relevant environmental data. The validation of ADAS systems is crucial to ensure their reliability and performance in real-world driving scenarios; however, this requires reference data. This paper focuses on the development of a reference sensor system that can provide reference data and does support the validation of visual sensors for ADAS systems. The system is validated in various relevant scenarios at an automotive proving ground.

摘要

先进驾驶辅助系统(ADAS)对汽车安全至关重要。它们依靠各种传感器(尤其是越来越依赖视觉传感器以满足不断发展的安全标准)来捕获相关环境数据。ADAS系统的验证对于确保其在实际驾驶场景中的可靠性和性能至关重要;然而,这需要参考数据。本文着重于开发一种参考传感器系统,该系统能够提供参考数据并确实支持ADAS系统视觉传感器的验证。该系统在汽车试验场的各种相关场景中得到了验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/1d5c6d94f93d/sensors-25-01690-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/8e1a527ada84/sensors-25-01690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/02097c626595/sensors-25-01690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/416975cfdc6f/sensors-25-01690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/b9776ca343c8/sensors-25-01690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d3ce8b5439ce/sensors-25-01690-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/56ccc8e2e5d7/sensors-25-01690-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/7d4b6ad78c90/sensors-25-01690-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/cbbae7bd582c/sensors-25-01690-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/8d2ce8967419/sensors-25-01690-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/190ef301e653/sensors-25-01690-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/e9e5351dcda1/sensors-25-01690-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/36aa90736388/sensors-25-01690-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/fb2e434528af/sensors-25-01690-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d4a4afbaac6a/sensors-25-01690-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d4a7b17ad8cf/sensors-25-01690-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/1d5c6d94f93d/sensors-25-01690-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/8e1a527ada84/sensors-25-01690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/02097c626595/sensors-25-01690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/416975cfdc6f/sensors-25-01690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/b9776ca343c8/sensors-25-01690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d3ce8b5439ce/sensors-25-01690-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/aefe68b3b985/sensors-25-01690-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/56ccc8e2e5d7/sensors-25-01690-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/7d4b6ad78c90/sensors-25-01690-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/cbbae7bd582c/sensors-25-01690-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/8d2ce8967419/sensors-25-01690-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/190ef301e653/sensors-25-01690-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/e9e5351dcda1/sensors-25-01690-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/36aa90736388/sensors-25-01690-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/fb2e434528af/sensors-25-01690-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d4a4afbaac6a/sensors-25-01690-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/d4a7b17ad8cf/sensors-25-01690-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8ed/11945887/1d5c6d94f93d/sensors-25-01690-g017.jpg

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本文引用的文献

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IEEE Trans Pattern Anal Mach Intell. 2024 Aug;46(8):5504-5523. doi: 10.1109/TPAMI.2024.3365970. Epub 2024 Jul 2.
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Least-squares fitting of two 3-d point sets.最小二乘拟合两个三维点集。
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