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).
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.
