Proactive proximity monitoring with instance segmentation and unmanned aerial vehicle‐acquired video‐frame prediction-Reference-Cited by-同舟云学术

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Proactive proximity monitoring with instance segmentation and unmanned aerial vehicle‐acquired video‐frame prediction

Published:2021-04-13 Issue:6 Volume:36 Page:800-816
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Bang Seongdeok¹²,Hong Yeji²,Kim Hyoungkwan²

Affiliation:

1. Alv company Yongin Gyeonggi 16942 Korea

2. Department of Civil and Environmental Engineering Yonsei University Seoul Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12672

Reference62 articles.

1. A deep‐learning‐based computer vision solution for construction vehicle detection

2. Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos

3. Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles

4. Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques

5. Context-based information generation for managing UAV-acquired data using image captioning

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4. UAV Imagery-based Automatic Classification of Ground Surface Types for Earthworks;KSCE Journal of Civil Engineering;2024-03-09

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