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

Oh et al., 2012 - Google Patents

Automatic illumination invariant road detection with stereo vision

Oh et al., 2012

Document ID
382154818063014437
Author
Oh C
Kim B
Sohn K
Publication year
Publication venue
2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

External Links

Snippet

Road detection is an important task in intelligent transportation system (ITS). Variation of illumination is a major issue in most of the vision approaches, which causes the problem of false detection. In this paper, we propose an automatic illumination invariant road detection …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06T2207/10024—Color image
    • 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
    • G06K9/4652—Extraction of features or characteristics of the image related to colour
    • 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
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
    • 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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
    • 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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • 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
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • 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

Similar Documents

Publication Publication Date Title
CA3032487C (en) Saliency-based method for extracting road target from night vision infrared image
Corke et al. Dealing with shadows: Capturing intrinsic scene appearance for image-based outdoor localisation
CN102314600B (en) Shadow removal in image captured by vehicle-based camera for clear path detection
Wu et al. Lane-mark extraction for automobiles under complex conditions
Hu et al. A multi-modal system for road detection and segmentation
CN102314602B (en) Shadow removal in image captured by vehicle-based camera using optimized oriented linear axis
CN106683119B (en) Moving vehicle detection method based on aerial video image
CN103093249B (en) A kind of taxi identification method based on HD video and system
CN102314601B (en) Shadow removal in image captured by vehicle based camera using non-linear illumination-invariant kernel
Kong et al. Detecting abandoned objects with a moving camera
Milford et al. Condition-invariant, top-down visual place recognition
CN101556739A (en) Vehicle detecting algorithm based on intrinsic image decomposition
CN107679470A (en) A kind of traffic mark board detection and recognition methods based on HDR technologies
CN105678318B (en) The matching process and device of traffic sign
CN102156881B (en) Method for detecting salvage target based on multi-scale image phase information
Halmaoui et al. Contrast restoration of road images taken in foggy weather
Kim et al. Illumination invariant road detection based on learning method
Alami et al. Local fog detection based on saturation and RGB-correlation
Oh et al. Automatic illumination invariant road detection with stereo vision
Omar et al. Detection and localization of traffic lights using YOLOv3 and Stereo Vision
Álvarez et al. Shadow resistant road segmentation from a mobile monocular system
Zong et al. Traffic light detection based on multi-feature segmentation and online selecting scheme
Ha et al. Robust reflection detection and removal in rainy conditions using LAB and HSV color spaces
Li et al. A new night traffic light recognition method
Huang et al. Integrating visual and range data for road detection