Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management

被引:35
|
作者
Nguyen, Dinh Dung [1 ]
Rohacs, Jozsef [1 ]
Rohacs, Daniel [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Aeronaut & Naval Architecture, H-1111 Budapest, Hungary
关键词
autonomous drones; UAV; autonomous flight trajectory; inverse motion simulation; smart city integration; TRACKING CONTROL; SECURITY; GUIDANCE; PRIVACY; DESIGN; MODELS;
D O I
10.3390/ijgi10050338
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (safe, secure, with minimum environmental impact and life cycle cost) solutions. The primary objective of this proposed option is the definition of routes as desired and commanded trajectories and their autonomous execution. The airspace structure and fixed routes are given in the global GPS reference system with supporting GIS mapping. The concept application requires a series of further studies and solutions as drone trajectory (or corridor) following by an autonomous trajectory tracking control system, coupled with autonomous conflict detection, resolution, safe drone following, and formation flight options. The second part of the paper introduces such possible models and shows some results of their verification tests. Drones will be connected with the agency, designed trajectories to support them with factual information on trajectories and corridors. While the agency will use trajectory elements to design fixed or desired trajectories, drones may use the conventional GPS, infrared, acoustic, and visual sensors for positioning and advanced navigation. The accuracy can be improved by unique markers integrated into the infrastructure.
引用
收藏
页数:27
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