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Article
Publication date: 9 October 2017

Chris Boselli, Jason Danis, Sandra McQueen, Alex Breger, Tao Jiang, Douglas Looze and Daiheng Ni

Small unmanned aircraft systems (sUAS) are becoming increasingly popular among hobbyists, and with this popularity there comes the risk of runway incursion between a commercial…

342

Abstract

Purpose

Small unmanned aircraft systems (sUAS) are becoming increasingly popular among hobbyists, and with this popularity there comes the risk of runway incursion between a commercial aircraft and sUAS around airports. To keep airports safe and secure, the purpose of this paper is to propose a module, called the Airport Secure Perimeter Control System, that can be attached to every hobbyist’s sUAS for the purpose of notification and prevention.

Design/methodology/approach

Upon startup, the module connects to a database containing the central coordinates of every airport in the USA. A five-mile critical radius plus an additional one-mile buffer region is established around each point. The buffer region is created in order to inform the user that he/she is approaching a safe airspace and needs to take corrective action. Once the five-mile zone has been breached, autopilot software takes over the manual controls, and the sUAS is landed in a controlled manner, while the user still has lateral control of the vehicle in order to avoid any potential hazards below it. Then, both operator and airport receive messages about the event.

Findings

To demonstrate the proposed design, a prototype was developed that successfully implemented this system, and was formally tested within a controlled environment.

Originality/value

This solution would drastically reduce the security threat of sUAS breaching the critical regions surrounding airports, and its implementation is relatively simple.

Details

International Journal of Intelligent Unmanned Systems, vol. 5 no. 4
Type: Research Article
ISSN: 2049-6427

Keywords

Available. Open Access. Open Access
Article
Publication date: 1 October 2018

Xunjia Zheng, Bin Huang, Daiheng Ni and Qing Xu

The purpose of this paper is to accurately capture the risks which are caused by each road user in time.

2882

Abstract

Purpose

The purpose of this paper is to accurately capture the risks which are caused by each road user in time.

Design/methodology/approach

The authors proposed a novel risk assessment approach based on the multi-sensor fusion algorithm in the real traffic environment. Firstly, they proposed a novel detection-level fusion approach for multi-object perception in dense traffic environment based on evidence theory. This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was accurately obtained. Then, they conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated. The prediction steering angle and trajectory were considered in the determination of traffic risk influence area.

Findings

The results of multi-object perception in the experiments showed that the proposed fusion approach achieved low false and missing tracking, and the road traffic risk was described as a field of equivalent force. The results extend the understanding of the traffic risk, which supported that the traffic risk from the front and back of the vehicle can be perceived in advance.

Originality/value

This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was used to reduce erroneous data association between tracks and detections. Then, the authors conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated.

Details

Journal of Intelligent and Connected Vehicles, vol. 1 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

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