A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds

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A DEEP LEARNING FRAMEWORK FOR ROADS NETWORK DAMAGE ASSESSMENT USING POST-EARTHQUAKE LIDAR DATA

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Characterizing zebra crossing zones using LiDAR data

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AUTOMATIC ROAD MARKINGS EXTRACTION, CLASSIFICATION AND VECTORIZATION FROM MOBILE LASER SCANNING DATA

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Image-Translation-Based Road Marking Extraction From Mobile Laser Point Clouds

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Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data

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Bending the Curve of HD Maps Production for Autonomous Vehicle Applications in Taiwan

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YOLOTree-Individual Tree Spatial Positioning and Crown Volume Calculation Using UAV-RGB Imagery and LiDAR Data

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Construction and Verification of a High-Precision Base Map for an Autonomous Vehicle Monitoring System

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Automated Annotation of Lane Markings Using LIDAR and Odometry

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Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs

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A Click-Based Interactive Segmentation Network for Point Clouds

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A case study: Making decisions for sustainable university campus planning using GeoAI

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Near-Infrared Road-Marking Detection Based on a Modified Faster Regional Convolutional Neural Network

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Three-Dimensional Reconstruction of Zebra Crossings in Vehicle-Mounted LiDAR Point Clouds

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Transfer Learning for LiDAR-Based Lane Marking Detection and Intensity Profile Generation

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A Review of Indoor Automation Modeling Based on Light Detection and Ranging Point Clouds

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Automating intersection marking data collection and condition assessment at scale with an artificial intelligence-powered system

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Model-Driven Precise Degradation Analysis Method of Highway Marking Using Mobile Laser Scanning Point Clouds

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Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques

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Instance-Based Clustering of Road Markings with Wear and Occlusion from Mobile Lidar Data

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A Deep Learning-Based Robust Change Detection Approach for Very High Resolution Remotely Sensed Images with Multiple Features

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Lane-Level Road Network Construction Based on Street-View Images

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Exploring FSCNN + Focal Loss: A Faster Alternative for Road Marking Classification on Mobile LIDAR Sparse Point Cloud Derived Images

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A Generalization Sample Learning Method of Deep Learning for Semantic Segmentation of Remote Sensing Images

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Bird's Eye View Semantic Segmentation based on Improved Transformer for Automatic Annotation

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EXTRACTION OF ROAD MARKINGS FROM MLS DATA: A REVIEW

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MFSCNN: APPENDING A MASKED BRANCH TO FAST-SCNN TO IMPROVE ROAD MARKING EXTRACTION ON SPARSE MLS POINT CLOUD-DERIVED IMAGES

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3D POINT CLOUD DATA PROCESSING AND INFRASTRUCTURE INFORMATION MODELS: METHODS AND FINDINGS FROM SAFEWAY PROJECT

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BOOSTING U-NET WITH FOCAL LOSS FOR ROAD MARKING CLASSIFICATION ON SPARSE MOBILE LIDAR POINT CLOUD DERIVED IMAGES

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IDA-Net: Intensity-distribution aware networks for semantic segmentation of 3D MLS point clouds in indoor corridor environments

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COMPARATIVE STUDY OF ROAD AND URBAN OBJECT CLASSIFICATION BASED ON MOBILE LASER SCANNERS

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Point-Based Visual Status Evaluation of Worn Pavement Markings Based on a Feature-Binary-PointNet Network and Shape Descriptors Using LiDAR Point Clouds: A Case Study of an Expressway

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Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment

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A review on multiple facets of Indian Road safety-classification, challenges and future scope

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3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS

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Reconstruction of 3D Zebra Crossings from Mobile Laser Scanning Point Clouds

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Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds

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A two-stage approach for road marking extraction and modeling using MLS point clouds

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AUTOMATIC ROAD MARKINGS EXTRACTION, CLASSIFICATION AND VECTORIZATION FROM MOBILE LASER SCANNING DATA

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AUTOMATIC EXTRACTION OF ROAD MARKINGS FROM MOBILE LASER SCANNING DATA

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