The use of 3D sensors can provide estimates of the depth, providing more information in cases such as occlusion and tracking. Development of processing techniques with 3D-deep learning algorithm has benefits for surveillance applications as well as the field of robotics.
3D modeling of environment
Building accurate, 3D models of indoor/outdoor environments has many uses in robotics, navigation and augmented reality. Simultaneous localization and mapping (SLAM) approaches are employed in autonomous robots. We are developing approaches for low-cost deployment in outdoor/indoor environments.
Human-robot interaction
Developing robotic systems that interact with users for applications such as reception robot (City of Calgary).
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Applications of 3D
Some current and past projects include people counting, autonomous driving, drones, and use in real-time surveillance systems, virtual reality for conferences.
