Accuracy improvement in 3D laser scanner based on dynamic triangulation for autonomous navigation system

Autonomous navigation has been an important task in recent years to keep track of vehicles location, to provide safety and accuracy on its trajectory and to see their surroundings and predict if it is possible to travel across them. In this paper, a method to improve accuracy on laser vision systems based on dynamic triangulation for mobile robots is proposed. This laser vision system consists on a positioning laser, a scanning aperture and a fixed distance between them. The positioning laser points a laser beam over a surface and it is detected by the scanning aperture. The proposed method to improve accuracy on laser vision systems relies on the scanning aperture; current designs calculate the detection angle counting the pulses of a pulse train across a motor rotation. The disadvantage of this method is that the angular velocity of the motor may vary, resulting in an incorrect calculation of the angle of detection. In the proposed method, a new signal provided by an encoder is used to reduce the error generated by variations in angular velocity.

[1]  Marc Levoy,et al.  The digital Michelangelo project: 3D scanning of large statues , 2000, SIGGRAPH.

[2]  Oleg Sergiyenko,et al.  Machine Vision: Approaches and Limitations , 2008 .

[3]  TaeHyeong Kim,et al.  Autonomous navigation system for a mobile robot using a laser scanner in a corridor environment , 2015, 2015 IEEE/SICE International Symposium on System Integration (SII).

[4]  Oleg Sergiyenko,et al.  Continuous 3D scanning mode using servomotors instead of stepping motors in dynamic laser triangulation , 2015, 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE).

[5]  Oleg Starostenko,et al.  Optical 3D laser measurement system for navigation of autonomous mobile robot , 2014 .

[6]  Fernando Santos Osório,et al.  Vision-Based Autonomous Navigation Using Supervised Learning Techniques , 2011, EANN/AIAI.

[7]  Oleg Starostenko,et al.  Resolution improvement of dynamic triangulation method for 3D vision system in robot navigation task , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[8]  Irtsam Ghazi,et al.  GPS based autonomous vehicle navigation and control system , 2016, 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

[9]  O. Garcia,et al.  Laser Triangulation for Shape Acquisition in a 3D Scanner Plus Scan , 2006, Electronics, Robotics and Automotive Mechanics Conference (CERMA'06).

[10]  Tiziana D'Orazio,et al.  A 3D vision system for high resolution surface reconstruction , 2013, 2013 Seventh International Conference on Sensing Technology (ICST).

[11]  W. Sardha Wijesoma,et al.  Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[12]  O. Sergiyenko,et al.  Precise optical scanning for practical multi-applications , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[13]  Oleg Starostenko,et al.  3D laser scanning vision system for autonomous robot navigation , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[14]  Larry H. Matthies,et al.  Visual odometry on the Mars Exploration Rovers , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[15]  O. Y. Sergiyenko,et al.  Optoelectronic 3D laser scanning technical vision system based on dynamic triangulation , 2012, IEEE Photonics Conference 2012.

[16]  Bin Xue,et al.  Architectural stability analysis of the rotary-laser scanning technique , 2016 .

[17]  Piyush Pandey,et al.  Obstacle detection and collision avoidance using ultrasonic sensors for RC multirotors , 2015, 2015 International Conference on Signal Processing and Communication (ICSC).

[18]  Paulo Vinicius Koerich Borges,et al.  Low-obstacle detection using stereo vision , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[19]  José Hiroki Saito,et al.  A 3D scanning system based on laser triangulation and variable field of view , 2005, IEEE International Conference on Image Processing 2005.