Road Scene Layout Reconstruction based on CNN and its Application in Traffic Simulation

Chao Zhu, Yaochen Li, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang, Xinyu Zhu

Abstract: In this paper, we propose a road scene prediction framework based on the control points of road boundaries using CNN. Firstly, the image features are extracted and the heatmaps are generated by CNN to locate the control points of road boundaries. The input images are then segmented to specify the scene layout based on the control points. Furthermore, the 3D traffic scene models are constructed. The applications for traffic simulation are then developed. The evaluations and comparisons based on TSD-max dataset prove the effectiveness of the proposed method.