Improved Multistage Road Detection Algorithm with Robust Ground Point and Building Point Extraction

2017 ◽  
Vol 14 (11) ◽  
pp. 5469-5477 ◽  
Author(s):  
Mishmala Sushith ◽  
S. Sophia
2014 ◽  
Vol 13 (8) ◽  
pp. 1555-1560 ◽  
Author(s):  
Tao Li ◽  
Cheng Xu ◽  
Youqi Cai

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2310
Author(s):  
Chuang Yan ◽  
Ya Wei ◽  
Yong Xiao ◽  
Linbing Wang

As a new measuring technique, laser 3D scanning technique has advantages of rapidity, safety, and accuracy. However, the measured result of laser scanning always contains some noise points due to the measuring principle and the scanning environment. These noise points will result in the precision loss during the 3D reconstruction. The commonly used denoising algorithms ignore the strong planarity feature of the pavement, and thus might mistakenly eliminate ground points. This study proposes an ellipsoid detection algorithm to emphasize the planarity feature of the pavement during the 3D scanned data denoising process. By counting neighbors within the ellipsoid neighborhood of each point, the threshold of each point can be calculated to distinguish if it is the ground point or the noise point. Meanwhile, to narrow down the detection space and to reduce the processing time, the proposed algorithm divides the cloud point into cells. The result proves that this denoising algorithm can identify and eliminate the scattered noise points and the foreign body noise points very well, providing precise data for later 3D reconstruction of the scanned pavement.


2015 ◽  
Vol 35 (7) ◽  
pp. 0715001 ◽  
Author(s):  
王文锋 Wang Wenfeng ◽  
丁伟利 Ding Weili ◽  
李勇 Li Yong ◽  
杨树军 Yang Shujun

Sign in / Sign up

Export Citation Format

Share Document