Results 21 to 30 of about 2,071 (151)

Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

International Journal of Applied Earth Observations and Geoinformation, 2023
Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields such as planning, transportation and climate, potentially causing ...
Filip Biljecki, Tianhong Zhao, Xiucheng Liang, Yujun Hou   +3 more
doaj   +1 more source

UPDATING A ROAD NETWORK DATASET EXPLOITING THE RESULTS OF SEMANTIC SEGMENTATION TECHNIQUES APPLIED TO STREET-LEVEL IMAGERY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Traffic (or road) signs are an important component for applications in the mobility domain. When integrated with a road network, traffic signs, e.g.
A. Ajmar, E. Arco, P. Boccardo, F. Giulio Tonolo, J. Yoong   +4 more
doaj   +1 more source

Deep learning‐based panoptic segmentation: Recent advances and perspectives

IET Image Processing, Volume 17, Issue 10, Page 2807-2828, 21 August 2023., 2023
In recent years, panoramic segmentation has drawn increasing amounts of attention, leading to the rapid emergence of numerous related algorithms. This article presents a comprehensive survey on panoptic segmentation Abstract In recent years, panoptic segmentation has drawn increasing amounts of attention, leading to the rapid emergence of numerous ...
Yuelong Chuang, Shiqing Zhang, Xiaoming Zhao   +2 more
wiley   +1 more source

Deep learning serves traffic safety analysis: A forward‐looking review

IET Intelligent Transport Systems, Volume 17, Issue 1, Page 22-71, January 2023., 2023
Abstract This paper explores deep learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasising driving safety for both autonomous vehicles and human‐operated vehicles. A typical processing pipeline is presented, which can be used to understand and interpret traffic videos by extracting operational safety ...
Abolfazl Razi, Xiwen Chen, Huayu Li, Hao Wang, Brendan Russo, Yan Chen, Hongbin Yu   +6 more
wiley   +1 more source

Mapillary Street Vegetation Scoring: End-to-End Process

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing
Negin Zarbakhsh, Srikanta Sannigrahi, Anh Vu Võ   +2 more
exaly   +2 more sources

Water View Imagery: Perception and evaluation of urban waterscapes worldwide

Ecological Indicators, 2022
Gathering knowledge about physical settings and visual information of places has long been of interest to a wide variety of fields as they affect the experience of observers.
Junjie Luo, Tianhong Zhao, Lei Cao, Filip Biljecki   +3 more
doaj   +1 more source

Survey on Image Panoptic Segmentation Based on Deep Learning [PDF]

Jisuanji kexue yu tansuo, 2023
With the continuous development of deep learning and image segmentation, image panoptic segmentation has become a research hotspot in the field of computer vision, and many image panoptic segmentation methods have been proposed. This paper summarizes the
BI Yangyang, ZHENG Yuanfan, SHI Caijuan, ZHANG Kun, LIU Jian
doaj   +1 more source

A Multiple Object Tracker with Spatiotemporal Memory Network

International Journal of Aerospace Engineering, Volume 2023, Issue 1, 2023., 2023
Target tracking is an important application of unmanned aerial vehicles (UAVs). The template is the identity of the target and has a great impact on the performance of target tracking. Most methods only keep the latest template of the target, which is intuitive and convenient but has poor ability to resist the change of target appearance, especially to
Peng Xiao, Jiannan Chi, Zhiliang Wang, Fei Yan, Jiahui Liu, Mohammad Tawfik   +5 more
wiley   +1 more source

Multi‐stream densely connected network for semantic segmentation

IET Computer Vision, Volume 16, Issue 2, Page 180-191, March 2022., 2022
Abstract Semantic segmentation is a challenging task in computer vision which is widely used in autonomous driving and scene understanding. State‐of‐the‐art semantic segmentation networks, like DeepLab and PSPNet, make full use of multiple feature information to improve spatial resolution.
Dayu Jia, Jiale Cao, Jing Pan, Yanwei Pang   +3 more
wiley   +1 more source

A scalable data collection, characterization, and accounting framework for urban material stocks

Journal of Industrial Ecology, Volume 26, Issue 1, Page 58-71, February 2022., 2022
Abstract Building stocks represent an extensive reservoir of secondary resources. However, common bottom‐up characterization of these, often based on archetypal classification of buildings and their corresponding material intensity, are still not suitable to adequately inform circular economic strategies.
Hadi Arbabi, Maud Lanau, Xinyi Li, Gregory Meyers, Menglin Dai, Martin Mayfield, Danielle Densley Tingley   +6 more
wiley   +1 more source