Martin Labrie Email & Phone Number

Sunnyvale, Ca, Us

Localization and Mapping expert on Astro robot project (L6 SDE)

FPGA lead on various spaceflight program mission projects demanding precise requirements and testing.Develop and calibrate a new underwater 3D sensor, based on structured light, using a 2D camera and a laser beam. Algorithms were developed to filter the data, detect/measure objects, perform change detection and detect pipe leaks using 3D point clouds generated by the sensor.Develop an algorithm to track a known 2D target in space using a single camera located on the robotic arm of the space station. The algorithm outputs a 6 DoF pose in real-time.Develop a stereo camera pair for a rover mission going to Mars. Novel techniques were developed to achieve the required calibration precision using theodolites, non-linear optimization and new board design. Coded an FPGA to control the cameras, communication protocol and image distortion removal. GUI developed in Python as well as unit testing.Develop a vision system for a rover with multiple sensors and fusing the data coming from each of them. A novel 360° LiDAR was designed and GUI/algorithms created using QT and VTK.Developed a 6dof tracking algorithm using only 2D Infrared (IR) images to track the position of the space station and satellites in space. A contour/silhouette approach was developed to track the object.Developed augmented reality software using fiducial markers.Developed a shape from motion software to generate 3D data from a single digital camera with the option of using or not an external positioning devices like an IMU.Developed a powerful filtering algorithm to remove 3D points coming from obscuration (like dust, fog, snow and rain) or noise in the sensor.Provided real-time 3D data registration capability for aerial scans using global positioning device (GPS) during the AVS project.Software lead on ATR project. Developed 3D computer vision algorithms for target recognition and pose estimation. Generated 3D data using shape from motion technique for target recognition testing.

Ottawa, Ontario, Ca

Worked on project Symbiote, which captures 2D images automatically from specific targets using a pan/tilt camera mounted on a vehicle. The targets are remotely selected on a GUI containing an aerial image and uploaded via Ethernet link to the system (CPU, pan/tilt, camera, GPS, laser rangefinder, compass, inertial unit). The system can be installed on any type of terrestrial vehicle and is fully autonomous. It uses GPS and IMU information to decide whether an image needs to be taken from a target and keeps track of mission progress. 3D data is finally extracted from these images using shape from motion techniques.

Master’S Degree, Computer Science

Bachelor’S Degree, Computer Science