Suppr超能文献

基于 C-NCAP 的行人自动紧急制动测试设备的开发(2018 年)。

Development of Test Equipment for Pedestrian-Automatic Emergency Braking Based on C-NCAP (2018).

机构信息

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China.

College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.

出版信息

Sensors (Basel). 2020 Oct 30;20(21):6206. doi: 10.3390/s20216206.

Abstract

In order to evaluate the effectiveness of a pedestrian-automatic emergency braking (PAEB) system on pedestrian protection, a set of PAEB test equipment was developed according to the test requirement of China-New Car Assessment Program (C-NCAP) (2018) in this study. In the aspect of system control strategy, global positioning system (GPS) differential positioning was used to achieve the required measurement and positioning accuracy, the collaborative control between the PAEB test equipment and automated driving robot (ADR) was achieved by wireless communication, and the motion state of the dummy target in the PAEB system was controlled by using the S-shaped-curve velocity control method. Part of the simulations and field tests were conducted according to the scenario requirements specified in C-NCAP (2018). The experimental and simulated results showed that the test equipment demonstrated high accuracy and precision in the process of testing, the dummy target movement was smooth and stable, complying with the requirements of PAEB tests set forth in C-NCAP (2018), and yielding satisfactory results as designed. Subsequently, the performance of the AEB of a vehicle under test (VUT) was conducted and the score for star-rating to evaluate the performance level of AEB calculated. Results indicated the developed test equipment in this study could be used to evaluate the performance of the PAEB system with effectiveness.

摘要

为了评估行人自动紧急制动(PAEB)系统对行人保护的有效性,本研究根据中国新车评价规程(C-NCAP)(2018)的测试要求,开发了一套 PAEB 测试设备。在系统控制策略方面,采用全球定位系统(GPS)差分定位技术实现所需的测量和定位精度,通过无线通信实现 PAEB 测试设备与自动驾驶机器人(ADR)的协同控制,采用 S 型曲线速度控制方法控制假人目标在 PAEB 系统中的运动状态。根据 C-NCAP(2018)规定的场景要求,进行了部分仿真和现场测试。实验和仿真结果表明,测试设备在测试过程中具有高精度和高准确性,假人目标运动平稳稳定,符合 C-NCAP(2018)规定的 PAEB 测试要求,达到了预期的效果。随后,对试验车辆(VUT)的 AEB 性能进行了测试,并计算了星级评分以评估 AEB 的性能水平。结果表明,本研究开发的测试设备可用于评估 PAEB 系统的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e50/7663537/71cbd134f2c2/sensors-20-06206-g001.jpg

相似文献

1
Development of Test Equipment for Pedestrian-Automatic Emergency Braking Based on C-NCAP (2018).
Sensors (Basel). 2020 Oct 30;20(21):6206. doi: 10.3390/s20216206.
5
Integrated assessment of pedestrian head impact protection in testing secondary safety and autonomous emergency braking.
Accid Anal Prev. 2014 Feb;63:1-8. doi: 10.1016/j.aap.2013.10.014. Epub 2013 Oct 30.
7
Estimated benefit of automated emergency braking systems for vehicle-pedestrian crashes in the United States.
Traffic Inj Prev. 2019;20(sup1):S171-S176. doi: 10.1080/15389588.2019.1602729.
9
The correlation between pedestrian injury severity in real-life crashes and Euro NCAP pedestrian test results.
Traffic Inj Prev. 2011 Dec;12(6):604-13. doi: 10.1080/15389588.2011.607198.
10
The potential of clustering methods to define intersection test scenarios: Assessing real-life performance of AEB.
Accid Anal Prev. 2018 Apr;113:1-11. doi: 10.1016/j.aap.2018.01.010. Epub 2018 Jan 30.

引用本文的文献

本文引用的文献

1
Time-to-collision analysis of pedestrian and pedal-cycle accidents for the development of autonomous emergency braking systems.
Accid Anal Prev. 2018 Jun;115:128-136. doi: 10.1016/j.aap.2018.02.028. Epub 2018 Mar 19.
2
Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts.
Accid Anal Prev. 2017 Nov;108:74-82. doi: 10.1016/j.aap.2017.08.022. Epub 2017 Sep 6.
3
Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes.
Accid Anal Prev. 2015 Aug;81:24-9. doi: 10.1016/j.aap.2015.03.029. Epub 2015 May 6.
4
Typical pedestrian accident scenarios for the development of autonomous emergency braking test protocols.
Accid Anal Prev. 2014 Dec;73:73-80. doi: 10.1016/j.aap.2014.08.012. Epub 2014 Sep 1.
5
Pedestrian injury mitigation by autonomous braking.
Accid Anal Prev. 2010 Nov;42(6):1949-57. doi: 10.1016/j.aap.2010.05.018. Epub 2010 Jun 25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验