Vision‐based autonomous convoying with constant time delay

This paper describes the design and experimental validation of a vision‐based vehicle‐following system that uses only onboard sensors to enable a convoy of follower vehicles to autonomously track the trajectory of a manually driven lead vehicle. The tracking is done using the concept of a constant time delay, in which a follower tracks the delayed trajectory of its leader. This constant‐time‐delay approach allows for new techniques to be used to estimate the speed and heading of the leader. Experiments were conducted with full‐sized military vehicles on a 1.3‐km test track. Successful field trials with one follower for 10 laps and with two followers for 13.5 laps, totaling over 30 km, are presented. © 2010 Government of Canada. Exclusive worldwide publication rights in the article have been transferred to Wiley Periodicals, Inc., AWiley Company.

[1]  Ronald Lumia,et al.  Model-based vision for car following , 1993, Other Conferences.

[2]  Luo Jingqing,et al.  Millimeter-wave Radar Application in Tracking Maneuvering Target , 2006, 2006 CIE International Conference on Radar.

[3]  Philippe Martinet,et al.  A global decentralized control strategy for urban vehicle platooning using monocular vision and a laser rangefinder , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[4]  Stefan K. Gehrig,et al.  A trajectory-based approach for the lateral control of car following systems , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[5]  R. Parker,et al.  Deconvolution of long-core palaeomagnetic measurements-spline therapy for the linear problem , 1991 .

[6]  Nasser Kehtarnavaz,et al.  A transportable neural network controller for autonomous vehicle following , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[7]  Ronald Lumia,et al.  Vision-based robotic convoy driving , 2005, Machine Vision and Applications.

[8]  Nasser Kehtarnavaz,et al.  Visual control of an autonomous vehicle (BART)-the vehicle-following problem , 1991 .

[9]  Bruce A. Francis,et al.  A vision-based robotic follower vehicle , 2009, Defense + Commercial Sensing.

[10]  Peter Lancaster,et al.  Curve and surface fitting - an introduction , 1986 .

[11]  D. Swaroop,et al.  A review of constant time headway policy for automatic vehicle following , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[12]  F. Bottiger,et al.  Truck platooning in mixed traffic , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[13]  M. Tomizuka,et al.  A practical solution to the string stability problem in autonomous vehicle following , 2004, Proceedings of the 2004 American Control Conference.

[14]  Hassan K. Khalil,et al.  Singular perturbation methods in control : analysis and design , 1986 .

[15]  Rahul Sukthankar,et al.  RACCOON: A Real-time Autonomous Car Chaser Operating Optimally At Night , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[16]  Kiyohito Tokuda,et al.  Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications , 2002, IEEE Trans. Intell. Transp. Syst..

[17]  Sanjiv Singh,et al.  Obstacle detection using adaptive color segmentation and color stereo homography , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[18]  Dean A. Pomerleau,et al.  The 1997 automated highway free agent demonstration , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[19]  Olivier Lecointe,et al.  Leader-follower function for autonomous military convoys , 2004, SPIE Defense + Commercial Sensing.

[20]  Johan Larsson,et al.  Autonomous underground tramming for center‐articulated vehicles , 2008, J. Field Robotics.

[21]  Rajesh Rajamani,et al.  Demonstration of an automated highway platoon system , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[22]  John Yen,et al.  Autonomous vehicle following by a fuzzy logic controller , 1994, NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intellige.

[23]  Bruce A. Francis,et al.  Vision-Based Vehicle Trajectory Following with Constant Time Delay , 2009, FSR.

[24]  Patrick Rives,et al.  Vision-based Control for Car Platooning using Homography Decomposition , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[25]  Danwei Wang,et al.  Development and Implementation of a Fault-Tolerant Vehicle-Following Controller for a Four-Wheel-Steering Vehicle , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[26]  Masayoshi Tomizuka,et al.  Autonomous lateral following consideration for vehicle platoons , 2003, Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003).

[27]  J. K. Hedrick,et al.  Constant Spacing Strategies for Platooning in Automated Highway Systems , 1999 .

[28]  N. Teanby Constrained Smoothing of Noisy Data Using Splines in Tension , 2007 .

[29]  J. Borenstein Internal Correction of Dead-reckoning Errors With a Dual-drive Compliant Linkage Mobile Robot , 1995 .

[30]  Nasser Kehtarnavaz,et al.  A transportable neural-network approach to autonomous vehicle following , 1998 .

[31]  Masayoshi Tomizuka,et al.  A laser scanning radar based autonomous lateral vehicle following control scheme for automated highways , 2003, Proceedings of the 2003 American Control Conference, 2003..

[32]  H. Fritz,et al.  Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: experimental results from the CHAUFFEUR project , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

[33]  Petros A. Ioannou,et al.  A Comparision of Spacing and Headway Control Laws for Automatically Controlled Vehicles1 , 1994 .