Real-Time Recognition of the Terrain Configuration to Improve Driving Stability for Unmanned Robots

Authors: Bongsoo Jeon, Jayoung Kim, Jihong Lee

Abstract:

Methods for measuring or estimating ground shape by a laser range finder and a vision sensor (Exteroceptive sensors) have critical weaknesses in terms that these methods need a prior database built to distinguish acquired data as unique surface conditions for driving. Also, ground information by Exteroceptive sensors does not reflect the deflection of ground surface caused by the movement of UGVs. Therefore, this paper proposes a method of recognizing exact and precise ground shape using an Inertial Measurement Unit (IMU) as a proprioceptive sensor. In this paper, firstly this method recognizes the attitude of a robot in real-time using IMU and compensates attitude data of a robot with angle errors through analysis of vehicle dynamics. This method is verified by outdoor driving experiments of a real mobile robot.

Keywords: Inertial Measurement Unit, Laser Range Finder, Real-time recognition of the ground shape.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1090647

References:

[1] D. Kim, J. Sun, S.M. Oh, J. M. Rehg, and A. Bobick, "Traversability classification using unsupervised on-line visual learning for outdoor robot navigation” IEEE Intl. Conf. on Robotics and Automation, pp. 518-528, May 2006.
[2] Tae Won Kim, Jin Hyoung Kim, Sung Soo Kim, Yun Ho Ko, "Land Preview System Using Laser Range Finder based on Heave Estimation”, Journal of Electronics Engineering, vol. 49, pp. 63-73, no. 1, 2012.
[3] Ji Hoon Joung, Kwang Ho An, Jung Won Kang, Woo Hyun Kim, Myung Jin Chung, "3D Terrain Reconstruction Using 2D Laser Range Finder and Camera Based on Cubic Grid for UGV Navigation”, Journal of Electronics Engineering, vol. 45, pp.26-34, no. 6, 2008.
[4] Sijong Kim, Jungwon Kang, Yungeun Choe, Sang Un Park, Inwook Shim, Seunguk Ahn, Myung Jin Chung, "The Development of Sensor System and 3D World Modeling for Autonomous Vehicle”, Journal of Automation and Control Engineering, vol. 17, pp.531-538, no.6, 2011.
[5] A. Stentz, "Optimal and Efficient Path Planning for Partially-known Environments”, Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 4, pp. 3310-3317, May 1994.
[6] Byoung-gon Park, Jayoung Kim, Jihong Lee, "Terrain Feature Extraction and Classification using Contact Sensor Data”, Journal of Korea Robotics Society, vol. 7, pp. 171-181, no. 3, 2012.
[7] Jayoung Kim, Jihong Lee, "Predicting Maximum Traction to Improve Maneuverability for Autonomous Mobile Robots on Rough Terrain”, Journal of Automation and Control Engineering, vol.1, no.1, 2013.
[8] Jayoung Kim, Jihong Lee, "Prediction of Maneuverability and Efficiency for a Mobile Robot on Rough Terrain through the development of a Testbed for Analysis of Robot-terrain Interaction”, Journal of Korea Robotics Society, vol. 8, no. 2, pp. 116-128,2013.
[9] Christopher A. Brooks, Karl Iagnemma "Self-supervised terrain classification for planetary surface exploration rovers”, Journal of Field Robotics, vol.39, no. 1, 2012.
[10] Byunggon Park, Jonghwa Lee, Jayoung Kim, Jihong Lee, "Classification of terrains by body motion and contact force”, Institute of Electronics Engineering, June 2010.
[11] Dupont, E.M, Moore, C.A., Collins, E.G., Jr., Coyle, E., "Frequency response method for terrain classification in autonomous ground vehicles”, Autonomous Robots 24.4,2008.
[12] Sang Hyun Joo, Jihong Lee, "A Dynamic Modeling of 6 6 Skid Type Vehicle for Real Time Traversability Analysis over Curved Driving Path” Journal of Automation and Control Engineering, vol.18, pp.369-364, no.4, 2012.
[13] Sang Hyun Joo, Jihong Lee, "A High-speed Autonomous Navigation Based on Real Time Traversability for 6 6 Skid Vehicle”, Journal of Automation and Control Engineering, no.3, 2012.
[14] Doo-gyu Kim, Ja-young Kim, Jihong Lee, Dong-Geol Choi, In-So Kweon, "Utilizing Visual Information for Non-contact Predicting Method of Friction Coefficient”, Journal of Electronics Engineering, vol. 47, pp. 28-34, no. 4, 2013.