Encounter Risk Evaluation with a Forerunner UAV

被引:2
作者
Bauer, Peter [1 ,2 ]
Hiba, Antal [1 ,3 ]
Nagy, Mihaly [1 ,2 ]
Simonyi, Erno [1 ,2 ]
Kuna, Gergely Istvan [1 ,2 ]
Kisari, Adam [1 ,2 ]
Drotar, Istvan [4 ]
Zarandy, Akos [1 ,3 ]
机构
[1] Szechenyi Istvan Univ, Res Ctr Vehicle Ind, H-9026 Gyor, Hungary
[2] ELKH, Inst Comp Sci & Control SZTAK, Syst & Control Lab, Kende Utca 13-17, H-1111 Budapest, Hungary
[3] ELKH, Inst Comp Sci & Control SZTAK, Computat Opt Sensing & Proc Lab, Kende Utca 13-17, H-1111 Budapest, Hungary
[4] Szechenyi Istvan Univ, Radio Frequency Testing Lab, H-9026 Gyor, Hungary
关键词
forerunner UAV; aerial vision; ground vehicle tracking and positioning; detection of dangerous encounters; VELOCITY; POSITION;
D O I
10.3390/rs15061512
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:45
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