RIEGL HELPS CREATE 3D CITY MAP FOR “SMART” HONG KONG

RIEGL VMQ-1HA HELPS CREATE A 3D CITY MAP FOR AN INNOVATIVE, SUSTAINABLE AND “SMART” HONG KONG Editor’s Note:News.gov.hk  shared an article in their Infrastructure & Logistics section recently that highlights a comprehensive mapping project underway in Hong Kong. The RIEGL VMQ-1HA is one of the key tools being used on this next generation of Hong Kong city mapping. The Lands Department of […]

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Velodyne Lidar Launches Ecosystem Partner Program

SAN JOSE, Calif.–(BUSINESS WIRE)–Velodyne Lidar, Inc. today introduced the Automated with Velodyne program for its integrator ecosystem to commercialize next generation autonomous solutions using Velodyne lidar technology. Through the program, Velodyne helps companies by supporting innovation, promoting applications and creating lasting customer and business relationships. “In this new era of autonomy, we are seeing exciting new uses of our lidar every day”Tweet this The […]

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WEBINAR SERIES – RIEGL ‘ULTIMATE LIDAR’ – Free !!

bathymetry

RIEGL ULTIMATE LIDAR WEBINAR SERIES – RIEGL will be hosting a series of FREE webinars in the month of April. April 2020 Schedule Learn more about the latest in LiDAR applications, workflows and new products without ever leaving your office! Click the images below to register for FREE these informative RIEGL webinars. After registering, you will receive a confirmation email containing information about […]

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Deep Learning-Based Framework for Feature Extraction

This paper by Wen et al., presents a deep learning-based framework for road marking extraction, classification and completion from three-dimensional (3D) mobile laser scanning (MLS) point clouds. Road markings play a critical role in road traffic safety and are one of the most important elements for guiding autonomous vehicles (AVs). High-Definition (HD) maps with accurate road marking information are very […]

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Pavement Markings Auto-Extracted From Point Clouds

Image of point cloud BASF Automotive Solutions

Article Highlights:  The use of Mobile Laser Scanning for collecting highway conditions such as pavement markings is increasing. Since pavement markings are made intentionally reflective their return intensity can be used to auto-extract them from the point cloud. Extracting them can be a challenge given the accuracies of current MLS systems (cm-level), relative to the thickness of the markings (mm-level). […]

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