Deep learning‐based object identification with instance segmentation and pseudo‐LiDAR point cloud for work zone safety-Reference-Cited by-同舟云学术

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Deep learning‐based object identification with instance segmentation and pseudo‐LiDAR point cloud for work zone safety

Published:2021-08-04 Issue:12 Volume:36 Page:1549-1567
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Shen Jie¹,Yan Wenjie¹,Li Peng¹,Xiong Xin¹

Affiliation:

1. School of Computer Science & Engineering University of Electronic Science and Technology of China Chengdu China

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.12749

Reference66 articles.

1. A Survey on 3D Object Detection Methods for Autonomous Driving Applications

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

3. Active Work Zone Safety: Preventing Accidents Using Intrusion Sensing Technologies

4. Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras

5. Bochkovskiy A. Wang C. Y. &Mark Liao H. Y.(2020).YOLOv4: Optimal speed and accuracy of object detection.https://arxiv.org/abs/2004.10934.

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