Drones have taken a major technological leap in today’s industries, such as surveying, delivery, photography, geographic mapping, wildlife monitoring, search and rescue. A wide range of applications have drawn the attention of researchers as well as commoners. In particular, to survey remote location, it requires fast response and adaptive control. Human errors can lead to loss of drone and data. In the past, researches had to rely upon their talents to operate drone in an unknown environment and navigation in an unknown terrain requires special skills. Drones being a very costly equipment, need professional handling skills. Using deep learning techniques, drones can be trained to search and track specific targets. This eliminates the requirement of experts to operate the drones. In previous attempts made on this research, the authors described by separating foreground with background to use the foreground for navigation. In this paper, image-based navigation techniques are being implemented for identifying a mark instead of a complete background, thus reducing the computational requirements for drone navigation. In conclusion, deep learning-based drone which can recognize objects instead of whole background has a greater response for an isolated system. As a result, the electronic components on the drone can be reduced to effectively use the battery and compress the size of the drone making it more maneuverable.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning-Based Autonomous Drone(s) Assistance


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:

    Kongress:

    International Conference on Automation, Signal Processing, Instrumentation and Control ; 2020 February 27, 2020 - February 28, 2020



    Erscheinungsdatum :

    05.03.2021


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Autonomous Drone-Based Powerline Insulator Inspection via Deep Learning

    Muhammad, Anas / Shahpurwala, Adnan / Mukhopadhyay, Shayok et al. | TIBKAT | 2020


    Autonomous Drone-Based Powerline Insulator Inspection via Deep Learning

    Muhammad, Anas / Shahpurwala, Adnan / Mukhopadhyay, Shayok et al. | Springer Verlag | 2019


    Autonomous Decision-Making of Drone Swarm Based on Deep Reinforcement Learning

    Zhang, Na / Chen, Shuhan / Xiong, Shixun et al. | Springer Verlag | 2025


    Parking Assistance Drone

    KIM MIN JAE / CHO YI HYUN / KIM EUN HYEOK | Europäisches Patentamt | 2022

    Freier Zugriff

    Deep Reinforcement Learning for Autonomous Drone Navigation in Cluttered Environments

    Chandrashekhar, A / Rawate, Amit / Dhanamathi, A. et al. | IEEE | 2024