Krishnan et al., 2014 - Google Patents
Intelligent indoor mobile robot navigation using stereo visionKrishnan et al., 2014
View PDF- Document ID
- 9113129497072175544
- Author
- Krishnan A
- Kollipara J
- Publication year
- Publication venue
- arXiv preprint arXiv:1412.6153
External Links
Snippet
Majority of the existing robot navigation systems, which facilitate the use of laser range finders, sonar sensors or artificial landmarks, has the ability to locate itself in an unknown environment and then build a map of the corresponding environment. Stereo vision, while …
- 238000000034 method 0 abstract description 19
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- 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
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11047146B2 (en) | Pool cleaner with laser range finder system and method | |
Chong et al. | Sensor technologies and simultaneous localization and mapping (SLAM) | |
El-laithy et al. | Study on the use of Microsoft Kinect for robotics applications | |
Brand et al. | Stereo-vision based obstacle mapping for indoor/outdoor SLAM | |
Shen et al. | Localization through fusion of discrete and continuous epipolar geometry with wheel and IMU odometry | |
Alizadeh | Object distance measurement using a single camera for robotic applications | |
Dunbabin et al. | Low-cost vision-based AUV guidance system for reef navigation | |
Sanchez-Rodriguez et al. | A survey on stereo vision-based autonomous navigation for multi-rotor MUAVs | |
Trejo et al. | Depth map estimation methodology for detecting free-obstacle navigation areas | |
Krishnan et al. | Intelligent indoor mobile robot navigation using stereo vision | |
KR100906991B1 (en) | Method for detecting invisible obstacle of robot | |
Jensen et al. | Laser range imaging using mobile robots: From pose estimation to 3d-models | |
Biber et al. | 3d modeling of indoor environments for a robotic security guard | |
Poomarin et al. | Automatic docking with obstacle avoidance of a differential wheel mobile robot | |
Leonardi et al. | Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles | |
Krishnan et al. | Cost-effective stereo vision system for mobile robot navigation and 3d map reconstruction | |
Peñalver et al. | Multi-view underwater 3D reconstruction using a stripe laser light and an eye-in-hand camera | |
Pagnottelli et al. | Visual and laser sensory data fusion for outdoor robot localisation and navigation | |
Larranaga-Cepeda et al. | On-line dense point cloud generation from monocular images with scale estimation | |
Song et al. | A survey: Stereo based navigation for mobile binocular robots | |
Wu et al. | A practical method for robot navigation in variable indoor scenes | |
Al-Mayyahi et al. | Obstacle detection system based on colour segmentation using monocular vision for an unmanned ground vehicle | |
Hoang et al. | Closed-form solution to 3D points for estimating extrinsic parameters of camera and laser sensor | |
Ali et al. | A 3D mapping of the surrounding object using stereo-vision technique | |
Mattar et al. | A survey: Intelligent based mobile robots stereo vision maps synthesis and learning methodologies |