Video-based trailer detection and articulation estimation

Even for experienced drivers handling a roll trailer with a passenger car is a difficult and often tedious task. Moreover, the driver needs to keep track of the trailer's driving stability on unsteady roads. There are driver assistance systems that can simplify trajectory planning and observe the oscillation amplitude, but they require additional hardware. In this paper, we present a method for trailer detection and articulation angle measurement based on video data from a rear end wide-angle camera. It consists of two stages: to decide whether or not a trailer is coupled to the vehicle and to estimate its articulation angle. These calculations work on single video frames. The vehicle is therefore not required to be in motion. However, we stabilize the single frame estimations by temporal integration. We perform training and parameter optimization and evaluate the accuracy of our approach by comparing the results to those of an articulation measurement unit attached to a test vehicle's hitch. Results show that it can very reliably be determined whether or not a trailer is coupled to the vehicle. Furthermore, its articulation can be estimated with a mean error of less than two degrees.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  Markus Glaser,et al.  Omnidirectional Cameras as Backing-Up Aid , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[3]  Jorge L. Martínez,et al.  Driver assistance system for backward maneuvers in passive multi-trailer vehicles , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Makoto Nishida,et al.  Rear view lane detection by wide angle camera , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[5]  Edward Jones,et al.  Wide-angle camera technology for automotive applications: a review , 2009 .

[6]  Yong-Sheng Chen,et al.  Bird's-Eye View Vision System for Vehicle Surrounding Monitoring , 2008, RobVis.

[7]  E. Brookner Tracking and Kalman Filtering Made Easy , 1998 .

[8]  Peter Ridley,et al.  Automated Vehicle Stability Control for Articulated Vehicles , 2005 .

[9]  Clemens Rabe,et al.  6D Vision Goes Fisheye for Intersection Assistance , 2008, 2008 Canadian Conference on Computer and Robot Vision.

[10]  Yuri Owechko,et al.  Monocular Rear-View Obstacle Detection Using Residual Flow , 2012, ECCV Workshops.

[11]  Dieter Zöbel,et al.  Minimum Parking Maneuvers for Articulated Vehicles with One-Axle Trailers , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[12]  Shigang Li,et al.  Monitoring Around a Vehicle by a Spherical Image Sensor , 2006, IEEE Transactions on Intelligent Transportation Systems.

[13]  Muzaffar Djalalov,et al.  Top-View Surrounding Monitor System Using Modified-SIFT Based Stitching Method with Obstacle Detection , 2011 .