The research proposes an integrated methodology for vehicle navigation and motion analysis using computer vision and path planning techniques that ensures the automation of mechanical and labor-oriented task of hand weed management. To reduce agricultural dependency on herbicide, improving its sustainability and reducing its environmental impact, this research will show an innovative pathway to work as feature detection, visual odometry, Inertial Measurement Unit (IMU) integration, Differential Global Positioning System (DGPS) fusion, 3D mapping, and Particle Swarm Optimization (PSO)-based path planning are the main Key components. A mobile robot is designed to provide the best path solution for Uttarakhand’s hilly terrain by making use of robotic spraying technology combined with enhanced manual functions. To improve vehicle localization accuracy, optimize navigation courses, and ease obstacle avoidance in dynamic situations, the information is taken from previous and future frames. By mapping coordinate positions within the camera’s coordinate system and employing PSO-based path planning, the system ensures accurate decision-making to find the optimal route for weed spraying.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Combining Particle Swarm Optimization with Visual Odometry for Autonomous Vehicle Path Planning


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Kumar, Akshi (Herausgeber:in) / Swaroop, Abhishek (Herausgeber:in) / Shukla, Pancham (Herausgeber:in) / Mehra, Ritika (Autor:in) / Panwar, Govind (Autor:in) / Thapa, Vikas (Autor:in)

    Kongress:

    International Conference on Computing and Communication Networks ; 2024 ; Manchester, United Kingdom October 17, 2024 - October 18, 2024



    Erscheinungsdatum :

    10.06.2025


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    AUTONOMOUS NAVIGATION USING VISUAL ODOMETRY

    LIAO MIAO / LI MING / HONG SOONHAC | Europäisches Patentamt | 2017

    Freier Zugriff

    UAVs Path Planning by Particle Swarm Optimization Based on Visual-SLAM Algorithm

    Mughal, Umair Ahmad / Ahmad, Ishtiaq / Pawase, Chaitali J. et al. | Springer Verlag | 2022


    Fusing Optimal Odometry Calibration and Partial Visual Odometry via A Particle Filter for Autonomous Vehicles Navigation

    S.A. Ávila-Martínez / J.C. Martínez Romo / F.J. Luna Rosas et al. | BASE | 2021

    Freier Zugriff

    Stereo Visual Inertial Odometry for Unmanned Aerial Vehicle Autonomous Flight

    Liu, Quanpan / Wang, Zhengjie / Wang, Huan | Springer Verlag | 2019


    Visual Odometry for Autonomous Deep-Space Navigation

    Robinson, Shane / Pedrotty, Sam | NTRS | 2016