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A non-contact optical technique for vehicle tracking along bounded trajectories Silvio Giancola, Hermes Giberti, Remo Sala, Marco Tarabini, Federico Cheli, Marco Garozzo XXII AIVELA National Meeting Tor Vergata, Roma 16/12/2014 2


  1. A non-contact optical technique for vehicle tracking along bounded trajectories Silvio Giancola, Hermes Giberti, Remo Sala, Marco Tarabini, Federico Cheli, Marco Garozzo XXII AIVELA National Meeting – Tor Vergata, Roma – 16/12/2014

  2. 2 Introduction • Measure of a non-controlled trajectory of a vehicle along a bounded rectilinear course SUMMARY • Introduction • Purposes: • State of the art – 3D reconstruction of concrete • Solution proposed bridge (Giberti and al. [1]) • By-bridge application • – Tracking of a laser scanner on a Metrologic analysis • Conclusion carrying system, – The carrying system is in movement along the walkable section of a by-bridge camion – From (O P ,X P ,Y P ,Z P ) to (O L ,X L ,Y L ,Z L ): 3 (small) rotations + 3 translations [1] H. Giberti, A. Zanoni, M. Mauri, and M. Gammino, “ Preliminary study on automated concrete bridge inspection ,” in ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014, pp. V003T15A011 – V003T15A011. A non-contact optical technique for vehicle tracking along bounded trajectories

  3. 3 State of the art • Global Positioning System (GPS) – Triangulation through multiple satellites in known positions SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion Distance measurement Position estimation  Accuracy from the dozen of centimetres to one meter  Sensibility to occlusions A non-contact optical technique for vehicle tracking along bounded trajectories

  4. 4 State of the art • Inertial Measurement Units (IMUs) – Accelerometers + gyroscopes + magnetometers – Position → Double integration of the acceleration SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion  Previously tried, but without success  Problems in drifting  Problems with vibration A non-contact optical technique for vehicle tracking along bounded trajectories

  5. 5 State of the art • Computer Vision Techniques (Object Motion / EgoMotion ) – Tracking techniques: Stereoscopy SUMMARY  Based on previous study • Introduction for object tracking • State of the art •  Problems in accuracy Solution proposed • By-bridge application for long depth • Metrologic analysis • Conclusion – Simultaneous Localization And Mapping Techniques (SLAM)  May not be enough accurate  But can be adapted, limited to a few degree of freedom A non-contact optical technique for vehicle tracking along bounded trajectories

  6. 6 Solution proposed • System {Lasers + Rangefinder + Camera} – 3 red lasers aligned, 1 being a rangefinder • Placed on a support SUMMARY • Aligned and pointing in direction of the vehicle • Introduction • • Defining the reference system State of the art • Solution proposed • Measure the X-displacement of vehicle • By-bridge application • Metrologic analysis – 1 Camera • Conclusion • Placed on the vehicle • Captures the projection of the lasers beams on a planar surface of the vehicle. • Measures the Y and Z-displacement and the roll rotation of the vehicle  Total of 4 degrees of freedom A non-contact optical technique for vehicle tracking along bounded trajectories

  7. 7 Solution proposed • System {Camera + Features} – 1 Camera, capturing images in a plane of the reference system SUMMARY • Placed on the vehicle • Introduction • • Pointing in the direction of a plane State of the art • Solution proposed where we want to measure the angle • By-bridge application • Metrologic analysis • Conclusion – Features to reference the measure • A straight line placed along the path • Line detection algorithm in order to measure the rotation  Measures 1 degree of freedom (rotation) A non-contact optical technique for vehicle tracking along bounded trajectories

  8. 8 Solution proposed • Complete system: – (x1) System {Lasers + Rangefinder + Camera} • Measures 4 degrees of freedom (3 translations + Roll rotation) SUMMARY • Introduction • – (x2) System {Camera + Line} State of the art • Solution proposed • Measures Yaw and Pitch rotations • By-bridge application • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  9. 9 By-bridge application • {Lasers + Rangefinder + Camera} – 3 lasers one being a rangefinder placed on a mechanical support – Projection of laser beams on a vehicle SUMMARY planar surface, captured an IDS camera • Introduction ( uEye UI-5240CP-M-GC, 1280x1024, 25Hz ) • State of the art – Image acquisition through a Labview software • Solution proposed • By-bridge application • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  10. 10 By-bridge application • {Yaw Camera + Line} – Decametre as reference line for the measurement of yaw angle – Camera with IR lightning system and filters SUMMARY • Introduction • – Image acquisition State of the art • Solution proposed through a Labview • By-bridge application software • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  11. 11 By-bridge application • {Pitch Camera + Line} – Handrail as reference line for the measurement of pitch angle SUMMARY – Camera with IR lightning system and filters • Introduction • State of the art • Solution proposed – Image acquisition through a Labview software • By-bridge application • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  12. 12 By-bridge application • Complete Solution – Mathematical model SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  13. 13 By-bridge application • Calibration – Camera internal parameters calibration SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion  Calibration in the measurement plane  Optical distortions correction  Remap image in camera reference system (pixel ↔ mm) A non-contact optical technique for vehicle tracking along bounded trajectories

  14. 14 By-bridge application • Calibration – Camera internal parameters calibration – Camera external parameters calibration SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion  Registration of cameras reference system into global reference system  Transformation matrix for different reference systems A non-contact optical technique for vehicle tracking along bounded trajectories

  15. 15 By-bridge application • Calibration – Camera internal parameters calibration – Camera external parameters calibration SUMMARY – Misalignment of laser beams • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion  Residual roll angle linear with the progression distance  Possibility to identify it if not corrected A non-contact optical technique for vehicle tracking along bounded trajectories

  16. 16 By-bridge application • 3D Reconstruction: – Politecnico di Milano building – Without roll compensation SUMMARY – With roll compensation (0.5deg/m) • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion A non-contact optical technique for vehicle tracking along bounded trajectories

  17. 17 Metrologic analysis • Instrument error estimation with 1000 measurements: – Rangefinder: Resolution of 1mm in distance measurement: 1 • 𝑉 𝑆𝑏𝑜𝑕𝑓𝑔𝑗𝑜𝑒𝑓𝑠 = 2 3 ≈ 0,29 𝑛𝑛 SUMMARY • Introduction • State of the art – Camera Blob: Pixel resolution of 0,5 mm in the planar surface: • Solution proposed • 𝑉 𝐸𝑝𝑢𝑡 ≈ 0,06 𝑛𝑛 thanks to subpixel calculus of dots barycentre • By-bridge application • Metrologic analysis • Conclusion – Camera Angle: Resolution of 0,01 ° in line angle estimation: • 𝑉 𝐵𝑜𝑕𝑚𝑓 ≈ 0,04° Theoretical Experimental Instrument Uncertainty Uncertainty Rangefinder 1,00mm 0,29mm Camera blob 0,50mm 0,06mm 0,01 ° 0,04 ° Camera angle A non-contact optical technique for vehicle tracking along bounded trajectories

  18. 18 Metrologic analysis • Monte Carlo model SUMMARY • Introduction • State of the art • Solution proposed • By-bridge application • Metrologic analysis • Conclusion Translation Rotation Component Uncertainty Uncertainty 0,03 ° X 0,29mm 0,04 ° Y 0,06mm 0,04 ° Z 0,06mm A non-contact optical technique for vehicle tracking along bounded trajectories

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