scholarly journals High-accuracy calibration of line-structured light vision sensors using a plane mirror

2019 ◽  
Vol 27 (24) ◽  
pp. 34681
Author(s):  
Wei Zou ◽  
Zhenzhong Wei ◽  
Fulin Liu
Keyword(s):  
Structured Light ◽  
High Accuracy ◽  
Plane Mirror ◽  
Vision Sensors ◽  
Structured Light Vision

scholarly journals Multi-Camera and Structured-Light Vision System (MSVS) for Dynamic High-Accuracy 3D Measurements of Railway Tunnels

Sensors ◽  
2015 ◽  
Vol 15 (4) ◽  
pp. 8664-8684 ◽  
Author(s):  
Dong Zhan ◽  
Long Yu ◽  
Jian Xiao ◽  
Tanglong Chen
Keyword(s):  
Vision System ◽  
Structured Light ◽  
High Accuracy ◽  
3D Measurements ◽  
Structured Light Vision

scholarly journals A Robust Laser Stripe Extraction Method for Structured-Light Vision Sensing

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4544
Author(s):  
Congyang Zhao ◽  
Jianing Yang ◽  
Fuqiang Zhou ◽  
Junhua Sun ◽  
Xiaosong Li ◽  
...  
Keyword(s):  
Structured Light ◽  
Point Clouds ◽  
Visual Navigation ◽  
Optimal Parameters ◽  
Main Research ◽  
Vision Sensing ◽  
Laser Stripe ◽  
Vision Sensors ◽  
The Cost ◽  
Structured Light Vision

Environmental sensing is a key technology for the development of unmanned cars, drones and robots. Many vision sensors cannot work normally in an environment with insufficient light, and the cost of using multiline LiDAR is relatively high. In this paper, a novel and inexpensive visual navigation sensor based on structured-light vision is proposed for environment sensing. The main research contents of this project include: First, we propose a laser-stripe-detection neural network (LSDNN) that can eliminate the interference of reflective noise and haze noise and realize the highly robust extraction of laser stripes region. Then we use a gray-gravity approach to extract the center of laser stripe and used structured-light model to reconstruct the point clouds of laser center. Then, we design a single-line structured-light sensor, select the optimal parameters for it and build a car–platform for experimental evaluation. This approach was shown to be effective in our experiments and the experimental results show that this method is more accurate and robust in complex environment.

Rapid calibration for line structured light vision sensors

2006 ◽  
Vol 2 (3) ◽  
pp. 175-178 ◽  
Author(s):  
Pei Yang ◽  
Bin-shi Xu ◽  
Lin Wu
Keyword(s):  
Structured Light ◽  
Vision Sensors ◽  
Structured Light Vision ◽  
Rapid Calibration

scholarly journals On-site calibration of line-structured light vision sensor in complex light environments

2015 ◽  
Vol 23 (23) ◽  
pp. 29896 ◽  
Author(s):  
Zhen Liu ◽  
Xiaojing Li ◽  
Yang Yin
Keyword(s):  
Structured Light ◽  
Vision Sensor ◽  
Structured Light Vision
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