Encounter Risk Evaluation with a Forerunner UAV
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Published:2023-03-09
Issue:6
Volume:15
Page:1512
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
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
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
2 articles.
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