Research on Road Unexpected Obstacle Segmentation Algorithm Based on Improved RFB Deeplabv3+-Reference-Cited by-同舟云学术

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Research on Road Unexpected Obstacle Segmentation Algorithm Based on Improved RFB Deeplabv3+

Published:2024-01-19 Issue: Volume:27 Page:1-8
ISSN:
Container-title:Proceedings of the International Conference on Computer Vision and Deep Learning
language:
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Author:

Xuan Jiayin¹^ORCID,Ci Wenyan¹^ORCID,Ge Yangxun¹^ORCID,Tian Lu¹^ORCID

Affiliation:

1. School of Engineering Hu zhou university, China

Funder

Zhejiang Provincial Public Welfare Technology Application Research Project

Postgraduate Research and Innovation Project of Huzhou University

Huzhou City Public Welfare Technology Application Research Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653781.3653800

Reference28 articles.

1. Traffic accidents involving fatigue driving and their extent of casualties

2. Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles

3. Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations

4. P. Kontschieder, S. R. Bulo, H. Bischof, and M. Pelillo, "Structured class-labels in random forests for semantic image labelling," in 2011 Int. Conf. on Comput. Vis., Barcelona, Spain, 06-13 Nov. 2011, pp. 2190-2197.

5. Normalized cuts and image segmentation

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