Encounter Risk Evaluation with a Forerunner UAV

Author:

Bauer Péter12ORCID,Hiba Antal13ORCID,Nagy Mihály12,Simonyi Ernő12,Kuna Gergely István12,Kisari Ádám12,Drotár István4,Zarándy Ákos13

Affiliation:

1. Research Center of Vehicle Industry, Széchenyi István University, H-9026 Győr, Hungary

2. Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), ELKH, Kende utca 13-17, H-1111 Budapest, Hungary

3. Computational Optical Sensing and Processing Laboratory, Institute for Computer Science and Control (SZTAKI), ELKH, Kende utca 13-17, H-1111 Budapest, Hungary

4. The Radio Frequency Testing Laboratory, Széchenyi István University, H-9026 Győr, Hungary

Abstract

Forerunner UAV refers to an unmanned aerial vehicle equipped with a downward-looking camera flying in front of the advancing emergency ground vehicles (EGV) to notify the driver about the hidden dangers (e.g., other vehicles). A feasibility demonstration in an urban environment having a multicopter as the forerunner UAV and two cars as the emergency and dangerous ground vehicles was done in ZalaZONE Proving Ground, Hungary. After the description of system hardware and software components, test scenarios, object detection and tracking, the main contribution of the paper is the development and evaluation of encounter risk decision methods. First, the basic collision risk evaluation applied in the demonstration is summarized, then the detailed development of an improved method is presented. It starts with the comparison of different velocity and acceleration estimation methods. Then, vehicle motion prediction is conducted, considering estimated data and its uncertainty. The prediction time horizon is determined based on actual EGV speed and so braking time. If the predicted trajectories intersect, then the EGV driver is notified about the danger. Some special relations between EGV and the other vehicle are also handled. Tuning and comparison of basic and improved methods is done based on real data from the demonstration. The improved method can notify the driver longer, identify special relations between the vehicles and it is adaptive considering actual EGV speed and EGV braking characteristics; therefore, it is selected for future application.

Funder

Developing innovative automotive testing and analysis competencies in the West Hungary region based on the infrastructure of the Zalaegerszeg Automotive Test Track

European Union within the framework of the National Laboratory for Autonomous Systems

Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference51 articles.

1. Nagy, M. (2021). Development and Simulation Testing of a Forerunner UAV System. [Master’s Thesis, Budapest University of Technology and Economics].

2. Nagy., M., Bauer., P., Hiba., A., Gáti., A., Drotár., I., Lattes., B., and Ádám, K. (2021, January 28–30). The Forerunner UAV Concept for the Increased Safety of First Responders. Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems—VEHITS, INSTICC, Online Streaming.

3. Center, V.I.R. (2023, March 02). SZE’s Drone Research: Final Forerunner Drone Demonstration on IV. ZalaZONE Innovation Day. Available online: https://jkk-web.sze.hu/szes-drone-research-final-forerunner-drone-demonstration-on-iv-zalazone-innovation-day/?lang=en.

4. Software-in-the-loop simulation of the forerunner UAV system;Hiba;IFAC-PapersOnLine,2022

5. Bauer, P., Nagy, M., Kuna, G.I., Kisari, A., Simonyi, E., Hiba, A., and Drotar, I. (July, January 9–). Stability focused evaluation and tuning of special ground vehicle tracking algorithms. Proceedings of the 22nd IFAC World Congress 2023, Yokohama, Japan.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3