Wang et al., 2010 - Google Patents
Lane detection based on random hough transform on region of interestingWang et al., 2010
- Document ID
- 341291785488542908
- Author
- Wang J
- Wu Y
- Liang Z
- Xi Y
- Publication year
- Publication venue
- The 2010 IEEE International Conference on Information and Automation
External Links
Snippet
In order to improve computational speed of the lane detection, we proposes a new road edge algorithm. The innovation of this algorithm is that it combined with ideas region of interesting (ROI) and random Hough transform (RHT). In this paper we proposed some …
- 238000001514 detection method 0 title abstract description 27
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
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
-
- 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
- G06K9/4633—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
-
- 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
- G06T2207/20—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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kluge | Extracting road curvature and orientation from image edge points without perceptual grouping into features | |
CN104217427B (en) | Lane line localization method in a kind of Traffic Surveillance Video | |
Wang et al. | Lane detection based on random hough transform on region of interesting | |
Yenikaya et al. | Keeping the vehicle on the road: A survey on on-road lane detection systems | |
Yan et al. | A method of lane edge detection based on Canny algorithm | |
Li et al. | Nighttime lane markings recognition based on Canny detection and Hough transform | |
CN102982559A (en) | Vehicle tracking method and system | |
Wang et al. | A vision-based road edge detection algorithm | |
Li et al. | Road lane detection with gabor filters | |
CN106815583B (en) | Method for positioning license plate of vehicle at night based on combination of MSER and SWT | |
CN103077531A (en) | Grayscale target automatic tracking method based on marginal information | |
CN103793708A (en) | Multi-scale license plate precise locating method based on affine correction | |
Youjin et al. | A robust lane detection method based on vanishing point estimation | |
CN105321189A (en) | Complex environment target tracking method based on continuous adaptive mean shift multi-feature fusion | |
CN105426868A (en) | Lane detection method based on adaptive region of interest | |
CN102842039B (en) | Road image detection method based on Sobel operator | |
Sun | Vision based lane detection for self-driving car | |
Qiu et al. | Research on lane line detection method based on improved hough transform | |
CN105405138A (en) | Water surface target tracking method based on saliency detection | |
Samadzadegan et al. | Automatic lane detection in image sequences for vision-based navigation purposes | |
Wang et al. | Robust lane detection based on gradient-pairs constraint | |
CN103440785A (en) | Method for rapid lane departure warning | |
CN106875430A (en) | Single movement target method for tracing and device based on solid form under dynamic background | |
CN105678791A (en) | Lane line detection and tracking method based on parameter non-uniqueness property | |
Lin et al. | Lane departure identification on Highway with searching the region of interest on Hough space |