Bidirectional Sliding Window for Boundary Recognition of Pavement Construction Area Using GPS-RTK

Applied Sciences

Weigong Zhang¹  Dong Wang¹  Tong Xu¹  Siwei Chen¹ 

[1] School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China;

关键词: boundary recognition;    pavement construction area;    bidirectional sliding window;    precise single-point positioning;    global positioning system;    real time kinematic;    possible irrelevant points;    relevant points;   

DOI  :  10.3390/app10041277

来源: DOAJ

【 摘 要 】

Unmanned pavement construction is of great significance in China, and the primary issue to be solved is how to identify the boundaries of the Pavement Construction Area (PCA). In this paper, we present a simple yet effective method, named the Bidirectional Sliding Window (BSW) method, for PCA boundary recognition. We first collected the latitude and longitude coordinates of the four vertices of straight quadrilaterals using the Global Positioning System—Real Time Kinematic (GPS-RTK) measurement principle for precise single-point positioning, analyzed single-point positioning accuracy, and determined the measurement error distribution models. Next, we took points at equal intervals along one straight line segment and two curved line segments with curvature radii of 70 m to 300 m, for simulation experiments. BSW was adopted to recognize the Possible Irrelevant Points (PIP) and Relevant Points (RP), which were used to identify PCA boundaries. Experiments show that when the proposed BSW algorithm is used and the single-point positioning accuracy is at the centimeter level, PCA boundary recognition for straight polygons reaches single-point positioning accuracy, and that for curved polygons reaches decimeter-level accuracy.

【 授权许可】

Unknown