[go: up one dir, main page]

Shade, 2011 - Google Patents

Choosing where to go: mobile robot exploration

Shade, 2011

View PDF
Document ID
4590989958747125022
Author
Shade R
Publication year

External Links

Snippet

For a mobile robot to engage in exploration of a-priori unknown environments it must be able to identify locations which will yield new information when visited. This thesis presents two novel algorithms which attempt to answer the question of choosing where a robot should …
Continue reading at ora.ox.ac.uk (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/10—Geometric effects
    • G06T15/20—Perspective computation
    • 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
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/06—Ray-tracing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/04—Texture mapping
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • 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

Similar Documents

Publication Publication Date Title
JP7282080B2 (en) 3D bounding boxes from 2D images and point cloud data
Smith et al. Aerial path planning for urban scene reconstruction: A continuous optimization method and benchmark
Shade et al. Choosing where to go: Complete 3D exploration with stereo
Costante et al. Exploiting photometric information for planning under uncertainty
US20190164445A1 (en) Method and system for simulating a radar image
Merras et al. Multi-view 3D reconstruction and modeling of the unknown 3D scenes using genetic algorithms
Einhorn et al. Generic 2D/3D SLAM with NDT maps for lifelong application
JP7701932B2 (en) Efficient localization based on multiple feature types
Lehtola et al. Indoor 3D: Overview on scanning and reconstruction methods
Garrote et al. 3D point cloud downsampling for 2D indoor scene modelling in mobile robotics
Nguyen et al. Structural modeling from depth images
Lovi Incremental free-space carving for real-time 3d reconstruction
Wiemann et al. A toolkit for automatic generation of polygonal maps-las vegas reconstruction
Wiemann et al. Automatic Map Creation For Environment Modelling In Robotic Simulators.
Pinard et al. Does it work outside this benchmark? Introducing the rigid depth constructor tool: Depth validation dataset construction in rigid scenes for the masses
Mojtahedzadeh Robot obstacle avoidance using the Kinect
Shade Choosing where to go: mobile robot exploration
Biström Comparative analysis of properties of LiDAR-based point clouds versus camera-based point clouds for 3D reconstruction using SLAM algorithms
Hänel et al. Multi camera placement via Z-buffer rendering for the optimization of the coverage and the visual hull
Woodall et al. Using the microsoft kinect for 3D map building and teleoperation
Rosinol 3D Spatial Perception with Real-Time Dense Metric-Semantic SLAM
Hu et al. Image projection onto flat LiDAR point cloud surfaces to create dense and smooth 3D color maps
Hardouin A centralized and distributed multi-robot system for 3D surface reconstruction of unknown environments
Elmquist Toward Quantifying the Simulation to Reality Difference for Autonomous Applications Reliant on Image-Based Perception
Niecksch et al. Mesh-based Object Tracking for Dynamic Semantic 3D Scene Graphs via Ray Tracing