Equipment : Différence entre versions

Version du 5 juin 2014 à 16:49

• 2 tripods
• 1 measuring wheel
• 1 GPS unit with SD card ("Columbus") NS office
• 4 nu-metrics NC-200 traffic sensors: counts, speed and vehicle classification (based on length)
• 1 telescopic pole with surveillance camera encasing that can contain a camera, typically GoPro
• 1 GoPro Hero2 camera with extra wifi module and battery pack + 2 external charger battery (Anker http://www.amazon.ca/gp/product/B009USAJCC?*Version*=1&*entries*=0)
• 1 GoPro Hero3+ white with battery pack
• 1 car (black Ford Escape 2006): parked in the new pavilion (Lassonde); the fob gives us access to the parking of the main pavilion to load up the car through the back door on the 3rd floor, very close to B344

Rules for the car

• Register the use of the equipment on the calendar: use the McGill online system http://transpo.herobo.com
• Log all trips with the vehicle: hour you leave and return the vehicle, purpose/destination, km and gas refill
• Fob in and out of the parking every time, even if the barrier is up
• Leave the fob (RFID) hanging on the rear view mirror

Calibration Matrix

NOTE: Validate these parameters on your data before using them.

Sample parameters for GoPro HD Hero2 1280*960 (In-house calibration):

       camera_matrix = [[377.42, 0.0,     639.12],
                        [0.0,    378.43,  490.20],
                        [0.0,    0.0,     1.0]]
       dist_coeffs = [-0.11759321,  0.0148536,  0.00030756, -0.00020578, -0.00091816]

Sample parameters for GoPro HD Hero2 1280*720 [Source](http://www.htw-mechlab.de/index.php/undistortion-der-gopro-hd-hero2/):

       camera_matrix = [[469.96, 0.0,    640],
                        [0.0,    467.68, 360],
                        [0.0,    0.0,    1.0]]
       dist_coeffs = [-0.18957, 0.037319, 0.0, 0.0, -0.00337]

Sample parameters for GoPro HD Hero2 4K (In-house calibration):

       camera_matrix = [[  1.80151934e+03,   0.00000000e+00,   1.88663242e+03],
                        [  0.00000000e+00,   1.80423487e+03,   1.48375206e+03],
                        [  0.00000000e+00,   0.00000000e+00,   1.00000000e+00]]
        dist_coeffs = [ -3.41396353e-01,   1.70761088e-01,   1.85596892e-05,   6.56168307e-04,  -5.22716120e-02]