Nothing Special   »   [go: up one dir, main page]

Ai et al., 2023 - Google Patents

A real-time road boundary detection approach in surface mine based on meta random forest

Ai et al., 2023

Document ID
5189769358159202012
Author
Ai Y
Song R
Huang C
Cui C
Tian B
Chen L
Publication year
Publication venue
IEEE Transactions on Intelligent Vehicles

External Links

Snippet

Efficient and accurate road boundary detection is a fundamental building component of the perception system for autonomous driving. Specially, the challenges for road boundary detection in surface mine are high generalization error of model and difficulty in boundary …
Continue reading at ieeexplore.ieee.org (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
    • G06K9/00624—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
    • 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
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • 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
    • 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
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/20—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
    • G06T2207/30—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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • 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
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • 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

Similar Documents

Publication Publication Date Title
Wang et al. A review of vehicle detection techniques for intelligent vehicles
Li et al. SA-LOAM: Semantic-aided LiDAR SLAM with loop closure
Bosse et al. Place recognition using keypoint voting in large 3D lidar datasets
Wang et al. Speed and accuracy tradeoff for LiDAR data based road boundary detection
Kim et al. Satellite image-based localization via learned embeddings
Ma et al. Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds
CN112184736B (en) Multi-plane extraction method based on European clustering
Liu et al. Point cloud segmentation based on Euclidean clustering and multi-plane extraction in rugged field
Ai et al. A real-time road boundary detection approach in surface mine based on meta random forest
Meng et al. Loop-closure detection with a multiresolution point cloud histogram mode in lidar odometry and mapping for intelligent vehicles
Yu et al. Bag of contextual-visual words for road scene object detection from mobile laser scanning data
Qian et al. Hy-Seg: A hybrid method for ground segmentation using point clouds
Cai et al. A lightweight feature map creation method for intelligent vehicle localization in urban road environments
Shepel et al. Occupancy grid generation with dynamic obstacle segmentation in stereo images
Zhou et al. ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
Xiong et al. Road-Model-Based road boundary extraction for high definition map via LIDAR
Yang et al. Using mobile laser scanning data for features extraction of high accuracy driving maps
Zhang et al. Front vehicle detection based on multi-sensor fusion for autonomous vehicle
Ou et al. Place recognition of large-scale unstructured orchards with attention score maps
Peng et al. 3-D Objects Detection and Tracking Using Solid-State LiDAR and RGB Camera
Zhou et al. A lidar mapping system for robot navigation in dynamic environments
Zhou et al. Place recognition and navigation of outdoor mobile robots based on random Forest learning with a 3D LiDAR
Guo et al. A feasible region detection method for vehicles in unstructured environments based on PSMNet and improved RANSAC
Shan et al. LiDAR based Traversable Regions Identification Method for Off-road UGV Driving
Huang et al. A coarse-to-fine LiDar-based SLAM with dynamic object removal in dense urban areas