TY  - JOUR
PY  - 2018//
TI  - Road scene simulation based on vehicle sensors: an intelligent framework using random walk detection and scene stage reconstruction
JO  - Sensors (Basel)
A1  - Li, Yaochen
A1  - Cui, Zhichao
A1  - Liu, Yuehu
A1  - Zhu, Jihua
A1  - Zhao, Danchen
A1  - Yuan, Jian
SP  - s18113782
EP  - s18113782
VL  - 18
IS  - 11
N2  - Road scene model construction is an important aspect of intelligent transportation system research. This paper proposes an intelligent framework that can automatically construct road scene models from image sequences. The road and foreground regions are detected at superpixel level via a new kind of random walk algorithm. The seeds for different regions are initialized by trapezoids that are propagated from adjacent frames using optical flow information. The superpixel level region detection is implemented by the random walk algorithm, which is then refined by a fast two-cycle level set method. After this, scene stages can be specified according to a graph model of traffic elements. These then form the basis of 3D road scene models. Each technical component of the framework was evaluated and the results confirmed the effectiveness of the proposed approach.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s18113782
ID  - ref1
ER  -