Institute for Aerospace Studies
University of Toronto
4925 Dufferin Street, Room 150B
Toronto, Ontario, Canada
michaelwarren [at] robotics.utias.utoronto.ca
michaeldwarren [at] gmail.com
cell: +1 416-854-7739
fax: +1 416-667-7799
An automated toolbox written in Matlab for calibrating multiple-overlapping cameras for use in robotic tasks.
See the Bitbucket website for more info: https://bitbucket.org/michaeldwarren/amcctoolbox/wiki/Home.
dc1394cam_driver is a C++ firewire camera driver that sits between libdc1394_22 and your user program, encapsulating the libdc1394 interface into a high level multicamera aware driver. It allows the user to setup a firewire camera using a simple interface, and not worry about the potential pitfalls of working with multiple streaming cameras.
See the Bitbucket website for more info: https://bitbucket.org/michaeldwarren/dc1394camdriver.
An open source implementation of the popular FAB-MAP localisation framework
See the Google Code website for more info: https://code.google.com/p/openfabmap/.
The UQ St Lucia Dataset is a vision dataset gathered from a car driven in a 9.5km circuit around the University of Queensland's St Lucia campus on 15/12/10. The data consists of visual data from a calibrated stereo pair, translation and orientation information as a ground truth from an XSens Mti-g INS/GPS and additional information from a USB NMEA GPS. The dataset traverses local roads and encounters a number of varying scenarios including roadworks, speed bumps, bright scenes, dark scenes, reverse traverses, a number of loop closure events, multi-lane roads, roundabouts and speeds of up to 60 km/h.
See the dedicated web page for more info: UQ St Lucia Dataset.
The Kagaru Airborne Dataset is a vision dataset gathered from a radio-controlled aircraft flown at Kagaru, Queensland, Australia on 31/08/10. The data consists of visual data from a pair of downward facing cameras, translation and orientation information as a ground truth from an XSens Mti-g INS/GPS and additional information from a USB NMEA GPS. The dataset traverses over farmland and includes views of grass, an air-strip, roads, trees, ponds, parked aircraft and buildings.
See the dedicated web page for more info: Kagaru Dataset.
For a full list of publications and citations, please visit my Google Scholar page.