[go: up one dir, main page]

Wang et al., 2024 - Google Patents

AirSim-Based Multi-UAV Collaborative Exploration by Aggregating Actions

Wang et al., 2024

Document ID
3781175027851590871
Author
Wang K
Tang H
Jin Y
Chen Y
Jiang Z
Song G
Publication year
Publication venue
2024 10th International Conference on Computer and Communications (ICCC)

External Links

Snippet

Unmanned Aerial Vehicles (UAVs) are increasingly employed in rescue, reconnaissance, and other critical fields due to their high mobility. However, most cluster algorithms based on multi-agent deep reinforcement learning (MADRL) remain confined to simulation, with a …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects

Similar Documents

Publication Publication Date Title
Mademlis et al. Autonomous unmanned aerial vehicles filming in dynamic unstructured outdoor environments [applications corner]
CN110672088B (en) A UAV autonomous navigation method imitating the homing mechanism of carrier pigeon landform perception
CN111474953B (en) Multi-dynamic-view-angle-coordinated aerial target identification method and system
CN115115785B (en) Multi-machine collaborative 3D modeling system and method for search and rescue in wild mountain forest environments
Devo et al. Autonomous single-image drone exploration with deep reinforcement learning and mixed reality
CN111176309B (en) Multi-unmanned aerial vehicle self-group mutual inductance understanding method based on spherical imaging
CN112580537B (en) Deep reinforcement learning method for multi-unmanned aerial vehicle system to continuously cover specific area
Hentati et al. Mobile target tracking mechanisms using unmanned aerial vehicle: Investigations and future directions
CN110823223A (en) Path planning method and device for unmanned aerial vehicle cluster
Zahinos et al. Cooperative multi-uav system for surveillance and search&rescue operations over a mobile 5g node
Iuzzolino et al. Virtual-to-real-world transfer learning for robots on wilderness trails
Xiao et al. Vision-based learning for drones: A survey
Arola et al. UAV pursuit-evasion using deep learning and search area proposal
Chen et al. Integrated air-ground vehicles for UAV emergency landing based on graph convolution network
Chen et al. Emergency uav landing on unknown field using depth-enhanced graph structure
Ding et al. A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera
Wang et al. AirSim-Based Multi-UAV Collaborative Exploration by Aggregating Actions
Tang et al. Online camera-gimbal-odometry system extrinsic calibration for fixed-wing UAV swarms
Zheng et al. Air2Land: A deep learning dataset for unmanned aerial vehicle autolanding from air to land
Miao et al. Zero-Shot Sim-to-Real Visual Quadrotor Control with Hard Constraints
Lou et al. Air-M: A Visual Reality Many-Agent Reinforcement Learning Platform for Large-Scale Aerial Unmanned System
Zhang et al. A self-supervised monocular depth estimation approach based on UAV aerial images
Parlange et al. Leveraging single-shot detection and random sample consensus for wind turbine blade inspection
Geng et al. Deep learning-based cooperative trail following for multi-robot system
Du et al. Autonomous Emergency Landing on 3D Terrains: Approaches for Monocular Vision-based UAVs