Image Semantic Segmentation for Autonomous Driving Based on Improved U-Net-Reference-Cited by-同舟云学术

Image Semantic Segmentation for Autonomous Driving Based on Improved U-Net

Published:2023 Issue:1 Volume:136 Page:787-801
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Sun Chuanlong,Zhao Hong,Mu Liang,Xu Fuliang,Lu Laiwei

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v136n1/51208/pdf

Reference27 articles.

1. A brief introduction on autonomous driving technology;Huang;Science & Technology Information,2017

2. Traffic flow statistics method based on deep learning and multi-feature fusion;Mu;Computer Modeling in Engineering & Sciences,2021

3. Overview on environmental perception technology for unmanned ground vehicles;Wang;Journal of Changchun University of Science and Technology (Natural Science Edition),2017

4. Sensing system of environmental perception technologies for driverless vehicle: A review of state of the art and challenges;Chen;Sensors and Actuators a Physical,2021

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