Intelligent Conflict Detection and Awareness for UAVs

被引:1
|
作者
Albaker, B. M. [1 ]
Rahim, N. A. [1 ]
机构
[1] Univ Malaya, Fac Engn, UMPEDAC Res Ctr, Kuala Lumpur 50603, Malaysia
关键词
D O I
10.1109/CITISIA.2009.5224202
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The deployment of unmanned aerial vehicles into the airspace is directly related to their ability to detect and avoid other aircraft objects. Through the performance analysis of the conflict detection and avoidance requirement, conceptual functional architecture of the conflict detection and conflict awareness are proposed with a method to extract collision parameters. These parameters include collision points, time to collision, collision interval and collision angle. The method is based onto monitoring the environment and sharing of flight plan segments among conflicting aircraft. The detection of a potential conflict is achieved by projecting states of the conflicting aircrafts' flight plans in the near future. In addition, the method estimates a suitable time to activate avoidance model and pass extracted collision parameters to that model. That is, in order to handle the maneuvering commands and thereby avoid conflicts.
引用
收藏
页码:261 / 264
页数:4
相关论文
共 50 条
  • [1] Conflict detection and resolution algorithms for UAVs collision avoidance
    Migliaccio, G.
    Mengali, G.
    Gelatolo, R.
    [J]. AERONAUTICAL JOURNAL, 2014, 118 (1205): : 828 - 842
  • [2] Intelligent Detection System for Spoofing and Jamming Attacks in UAVs
    Jasim, Khadeeja Sabah
    Alheeti, Khattab M. Ali
    Alaloosy, Abdul Kareem A. Najem
    [J]. ADVANCES IN CYBERSECURITY, CYBERCRIMES, AND SMART EMERGING TECHNOLOGIES, 2023, 4 : 97 - 110
  • [3] Improved Conflict Detection and Resolution for Service UAVs in Shared Airspace
    Ho, Florence
    Geraldes, Ruben
    Goncalves, Artur
    Cavazza, Marc
    Prendinger, Helmut
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (02) : 1231 - 1242
  • [4] Intelligent Detection Algorithm Against UAVs' GPS Spoofing Attack
    Wang, Shenqing
    Wang, Jiang
    Su, Chunhua
    Ma, Xinshu
    [J]. 2020 IEEE 26TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2020, : 382 - 389
  • [5] Conflict detection and resolution within intelligent agents
    Leven, S
    [J]. 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XIII, PROCEEDINGS: CONCEPTS AND APPLICATIONS OF SYSTEMICS, CYBERNETICS AND INFORMATICS III, 2002, : 473 - 478
  • [6] Two-layer optimization to cooperative conflict detection and resolution for UAVs
    Yang, Jian
    Yin, Dong
    Cheng, Qiao
    Xie, Xu
    [J]. 2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 2072 - 2077
  • [7] An intelligent wheelchair using situation awareness and obstacle detection
    Ji, Yeounggwang
    Hwang, Jihye
    Kim, Eun Yi
    [J]. 9TH INTERNATIONAL CONFERENCE ON COGNITIVE SCIENCE, 2013, 97 : 620 - 628
  • [8] The Impact of Nonlinear Mobility Models on Straight Line Conflict Detection Algorithm for UAVs
    Alajlan, Maram
    Belghith, Abdelfettah
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [9] Multi-agent coordination in high velocity UAVs conflict detection and resolution
    Yang Jian
    Yin Dong
    Zhang Yu
    Jian Lixuan
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 2621 - 2626
  • [10] Proactive UAVs for Cognitive Contextual Awareness
    Cavaliere, Danilo
    Senatore, Sabrina
    Loia, Vincenzo
    [J]. IEEE SYSTEMS JOURNAL, 2019, 13 (03): : 3568 - 3579