Lane Line Detection Based on DeepLabv3+ and OpenVINO
-
Published:2021
Issue:
Volume:
Page:714-723
-
ISSN:1865-0929
-
Container-title:Intelligent Equipment, Robots, and Vehicles
-
language:
-
Short-container-title:
Author:
Yang Risheng,Chen Xiai
Publisher
Springer Singapore
Reference16 articles.
1. Xu, H., Li, L., Fang, M., Hu, L.: A method of real time and fast lane line detection. In: 2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), pp. 1665–1668 (2018) 2. Feng, J., Wu, X., Zhang, Y.: Lane detection base on deep learning. In: 2018 11th International Symposium on Computational Intelligence and Design (ISCID), pp. 315–318 (2018) 3. Sun, Z.: Vision based lane detection for self-driving car. In: 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), pp. 635–638 (2020) 4. Demidovskij, A., et al.: OpenVINO deep learning workbench: a platform for model optimization, analysis and deployment. In: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), Baltimore, MD, pp. 661–668 (2020) 5. Mathew, G., Sindhu Ramachandran, S., Suchithra, V.S.: Lung nodule detection from low dose CT scan using ptimization on Intel Xeon and core processors with Intel distribution of OpenVINO Toolkit. In: TENCON 2019 IEEE Region 10 Conference (TENCON), pp. 1783–1788 (2019)
|
|