Digital image correlation techniques for measuring tyre-road interface parameters : Part 1 - Side-slip angle measurement on rough terrain

Abstract This paper presents inexpensive methods whereby the vehicle side-slip angle can be measured accurately at low speeds on any terrain using cameras. Most commercial side-slip angle sensor systems and estimation techniques rely on smooth terrain and high vehicle speeds, typically above 20 km/h, to provide accurate measurements. However, during certain in-situ tyre and vehicle testing on off-road conditions, the vehicle may be travelling at speeds slower than required for current sensors and estimation techniques to provide sufficiently accurate results. Terramechanics tests are typical case in point. Three algorithms capable of determining the side-slip angle from overlapping images are presented. The first is a simple fast planar method. The second is a more complex algorithm which can extract not only the side-slip angle but also its rotational velocities and scaled translational velocities. The last uses a calibrated stereo-rig to obtain all rotations and translational movement in world coordinates. The last two methods are aimed more at rough terrain applications, where the terrain induces motion components other than typical predominant yaw-plane motion. The study however found no discernible difference in measured side-slip angle of the methods. The system allows for accurate measurement at low and higher speeds depending on camera speed and lighting.

[1]  Masaki Yamamoto,et al.  ANALYSIS ON VEHICLE STABILITY IN CRITICAL CORNERING USING PHASE-PLANE METHOD , 1994 .

[2]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Alexandru Tupan,et al.  Triangulation , 1997, Comput. Vis. Image Underst..

[4]  Theunis R. Botha,et al.  Vehicle Sideslip Estimation Using Unscented Kalman Filter, AHRS and GPS , 2012 .

[5]  Kurt Konolige,et al.  Small Vision Systems: Hardware and Implementation , 1998 .

[6]  David Nistér,et al.  An efficient solution to the five-point relative pose problem , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Hans B. Pacejka,et al.  Tyre Modelling for Use in Vehicle Dynamics Studies , 1987 .

[8]  Kyongsu Yi,et al.  Design and evaluation of side slip angle-based vehicle stability control scheme on a virtual test track , 2006, IEEE Transactions on Control Systems Technology.

[9]  G. Krick Behaviour of tyres driven in soft ground with side slip , 1973 .

[10]  David Nister,et al.  Recent developments on direct relative orientation , 2006 .

[11]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[12]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  David M. Bevly,et al.  Integrating INS Sensors With GPS Measurements for Continuous Estimation of Vehicle Sideslip, Roll, and Tire Cornering Stiffness , 2006, IEEE Transactions on Intelligent Transportation Systems.

[14]  R. Hartley Triangulation, Computer Vision and Image Understanding , 1997 .

[15]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[16]  H. Pillai,et al.  Algorithm to Compute Minimal Nullspace Basis of a Polynomial Matrix , 2010 .

[17]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[19]  José Xavier,et al.  Measuring displacement fields by cross-correlation and a differential technique: experimental validation , 2012 .

[20]  V. Rodehorst,et al.  EVALUATION OF RELATIVE POSE ESTIMATION METHODS FOR MULTI-CAMERA SETUPS , 2008 .

[21]  Ioannis Andreadis,et al.  A Real-Time Occlusion Aware Hardware Structure for Disparity Map Computation , 2009, ICIAP.

[22]  Ieee Xplore,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  NistérDavid An Efficient Solution to the Five-Point Relative Pose Problem , 2004 .