A mobile laser scanning (MLS) system allows direct collection of accurate 3D point information in unprecedented detail at highway speeds and at less than traditional survey costs, which serves the… (More)
This paper proposes a novel algorithm for extracting street light poles from vehicleborne mobile light detection and ranging (LiDAR) point-clouds. First, the algorithm rapidly detects curb-lines and… (More)
IEEE Journal of Selected Topics in Applied Earth…
2015
This paper presents a novel method for automated extraction of road markings directly from three dimensional (3-D) point clouds acquired by a mobile light detection and ranging (LiDAR) system. First,… (More)
This paper presents a study of vehicle detection from high-resolution aerial images. In this paper, a superpixel segmentation method designed for aerial images is proposed to control the segmentation… (More)
This paper presents a novel algorithm for detection and recognition of traffic signs in mobile laser scanning (MLS) data for intelligent transportation-related applications. The traffic sign… (More)
IEEE Transactions on Intelligent Transportation…
2015
This paper presents a survey of literature about road feature extraction, giving a detailed description of a Mobile Laser Scanning (MLS) system (RIEGL VMX-450) for transportation-related… (More)
The assessment of pavement cracks is one of the essential tasks for road maintenance. This paper presents a novel framework, called ITVCrack, for automated crack extraction based on iterative tensor… (More)
IEEE Transactions on Intelligent Transportation…
2015
This paper proposes a novel, automated algorithm for rapidly extracting urban road facilities, including street light poles, traffic signposts, and bus stations, for transportation-related… (More)
IEEE Transactions on Intelligent Transportation…
2015
This paper proposes a novel framework for automated detection of urban road manhole covers using mobile laser scanning (MLS) data. First, to narrow searching regions and reduce the computational… (More)
Deep learning-based tree classification using mobile LiDAR data Haiyan Guan, Yongtao Yu, Zheng Ji, Jonathan Li & Qi Zhang To cite this article: Haiyan Guan, Yongtao Yu, Zheng Ji, Jonathan Li & Qi… (More)