Data-driven online traffic reconstructions: Interactively optimizing in virtual reality. (June 2022)

• Record Type: Journal Article
• Authors: Wang, Hua; He, Yifan; Wang, Zheng; Li, Guanfeng; Xiao, Yanqiu; Xu, Mingliang
• Is Part Of: Computers & graphics. Volume 105(2022)
• Page Start: 85
• Page End: 93
• Publication Date: 2022-06
• Subjects: 3D online traffic reconstructions -- Video data -- Traffic simulations -- Kalman filter; Computer graphics -- Periodicals; 006.6
• DOI: 10.1016/j.cag.2022.03.012
• Languages: English
• ISSNs: 0097-8493

Abstract

Abstract: It is important to realize three-dimensional (3D) online traffic reconstructions based on the video data. Existing methods always use structured data to generate 3D traffic reconstructions and do not process unstructured pixel data. In this paper, we propose a 3D online traffic reconstruction method driven by video data and virtual traffic simulations. There are mainly two steps in our method. The first step is data preprocessing. We extract vehicles' trajectories from video data and transform them into the geodetic coordinate system. The transformation parameters are optimally solved in multiple human–computer interactions. The second step is trajectory reconstructions. We use the traffic simulation method to predict vehicles' trajectories and use the Kalman filter to optimize vehicles' trajectories according to the extracted trajectories and the predicted trajectories. We also optimize the traffic simulation parameters iteratively according to the optimized trajectories when needed. The experimental results show that our method can provide realistic and smooth traffic reconstructions. It has nearly the same efficiency as that of existing online multiple object tracking methods. Graphical abstract: Highlights: 3D online traffic reconstruction based on video data directly. Our results are shown in a 3D virtual reality space comparing that of the existing methods, the results of which are in 2D pixel space. No need to provide the camera parameters of the video data. There are few limitations on the position of the camera. The reconstruction is with good visual effects.