[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Waqas et al., 2024 - Google Patents

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

Waqas et al., 2024

View PDF
Document ID
5324548770850324117
Author
Waqas A
Kang D
Cha Y
Publication year
Publication venue
Structural Health Monitoring

External Links

Snippet

This paper proposes a framework for obstacle-avoiding autonomous unmanned aerial vehicle (UAV) systems with a new obstacle avoidance method (OAM) and localization method for autonomous UAVs for structural health monitoring (SHM) in GPS-denied areas …
Continue reading at journals.sagepub.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

Similar Documents

Publication Publication Date Title
Waqas et al. Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring
Wei et al. LiDAR and camera detection fusion in a real-time industrial multi-sensor collision avoidance system
Yeum et al. Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure
Martínez-Otzeta et al. Ransac for robotic applications: A survey
Muresan et al. Stabilization and validation of 3D object position using multimodal sensor fusion and semantic segmentation
Zheng et al. Recognition and depth estimation of ships based on binocular stereo vision
Nguyen et al. LightDenseYOLO: A fast and accurate marker tracker for autonomous UAV landing by visible light camera sensor on drone
Henry et al. RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
Liu et al. Review on vehicle detection technology for unmanned ground vehicles
Wang et al. Building point detection from vehicle-borne LiDAR data based on voxel group and horizontal hollow analysis
Yavariabdi et al. FastUAV-net: A multi-UAV detection algorithm for embedded platforms
Dang et al. Obstacle avoidance strategy for mobile robot based on monocular camera
Li et al. A novel approach for UAV image crack detection
Ge et al. Text-MCL: Autonomous mobile robot localization in similar environment using text-level semantic information
Liu et al. A real-time and multi-sensor-based landing area recognition system for uavs
Ren et al. Improved YOLOv5 network for real-time object detection in vehicle-mounted camera capture scenarios
Zhao et al. A robust laser stripe extraction method for structured-light vision sensing
Bai et al. 3D instance segmentation and object detection framework based on the fusion of LIDAR remote sensing and optical image sensing
Zhao et al. Automatic defect detection of pavement diseases
Yeh et al. YOLOv3-based matching approach for roof region detection from drone images
Ignatious et al. Multilevel data and decision fusion using heterogeneous sensory data for autonomous vehicles
Jung et al. Multi-camera-based person recognition system for autonomous tractors
Liu et al. A framework for applying point clouds grabbed by multi-beam LiDAR in perceiving the driving environment
He et al. A Multiscale Multi-Feature Deep Learning Model for Airborne Point-Cloud Semantic Segmentation
Maslan et al. A System for the Automatic Detection and Evaluation of the Runway Surface Cracks Obtained by Unmanned Aerial Vehicle Imagery Using Deep Convolutional Neural Networks