Autonomous Systems, Robot Vision
We work on developing practical technologies and solutions for autonomous intelligent systems, such as Unmanned Aerial Vehicles (UAVs), quadcopters, drones, and autonomous vehicles. Our recent works particularly focus on enabling intelligent systems to perceive the indoor and outdoor environments with equipped sensors (e.g. RGB, depth sensors, IMUs) efficiently and holistically (e.g., depth, motion, 3D object proposals, semantics).
- R. Pahwa, J. Lu, N. Jiang, T.-T. Ng, and M. N. Do, “Locating 3D Object Proposals: A Depth-Based Online Approach,” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016, to appear. [preprint]
- C. Chen, J. Lu, M. N. Do, D.-K. Kwon, and D. Moore, “Accelerated Stereo Matching for Autonomous Vehicles Using An Upright Pinhole Camera Model,” Autonomous Vehicles and Machines Conference, at IS&T Electronic Imaging 2017, Burlingame, CA, Jan. 2017.