A Horizon Detection Method Based on Deep Learning and Random Forest

Authors

Jihua Ye, School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
Shuxia Shi, School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
Hanxi Li, School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
Jiali Zuo, School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
Shimin Wang, School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;

Abstract

Abstract: The detection effect of existing horizon line detection methods is greatly affected by the environment, and the computational complexity is high. Aiming at the problem of horizon line detection in complex road scene in real-life, a horizon line detection method based on deep learning and random forest is proposed. The deep learning model is used to extract the depth features, then the obtained depth features are used for random forest training. The results of horizon line detection are obtained by random forest regression-voting. The simulation results show that this method has good detection effect. The detection results are not only similar to the real value on the straight road, but also are basically coincident with the true value in the shadow and the curve area. It shows that the method is robust. It can be used to detect the horizon line in complex road scene.

Recommended Citation

Ye, Jihua; Shi, Shuxia; Li, Hanxi; Zuo, Jiali; and Wang, Shimin (2019) "A Horizon Detection Method Based on Deep Learning and Random Forest," Journal of System Simulation: Vol. 30: Iss. 7, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201807010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss7/10

First Page

2507

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201807010

Last Page

2514

CLC

TP391

Recommended Citation

Ye Jihua, Shi Shuxia, Li Hanxi, Zuo Jiali, Wang Shimin. A Horizon Detection Method Based on Deep Learning and Random Forest[J]. Journal of System Simulation, 2018, 30(7): 2507-2514.

DOI

10.16182/j.issn1004731x.joss.201807010