Papers


[C9] C. X. Guo, K. Sartipi, R. C. DuToit, G. A. Georgiou, R. Li, J. O'Leary, E. D. Nerurkar, J. A. Hesch, and S. I. Roumeliotis, “Large-cale Cooperative 3D Visual-Inertial Mapping in a Manhattan World”, in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 16-21, 2016. [pdf]


[C8] C. X. Guo, R. C. DuToit, K. Sartipi, G. A. Georgiou, R. Li, J. O'Leary, E. D. Nerurkar, J. A. Hesch, and S. I. Roumeliotis, “Resource-Aware Large-cale Cooperative 3D Mapping from Multiple Cell Phones”, Late Breaking Results in IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, May 26-30, 2015. [pdf]


[C7] D. G. Kottas, R. C. DuToit, A. Ahmed, C. X. Guo, G. A. Georgiou, R. Li, and S. I. Roumeliotis, "A Resource-aware Vision-aided Inertial Navigation System for Wearable and Portable Computers", in Proc. of the Workshop on "Long-Term Autonomy: Navigation and Mapping for Real-World Applications" in IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, Jun. 1, 2014. [pdf]


[C6] C. X. Guo, D. G. Kottas, R. C. DuToit, A. Ahmed, R. Li, and S. I. Roumeliotis, "Efficient Visual-Inertial Navigation using a Rolling-Shutter Camera with Inaccurate Timestamps", to appear in Robotics: Science and Systems Conference (RSS), Berkeley, California, Jul. 12-16, 2014. [pdf]


[C5] C. X. Guo and S. I. Roumeliotis, "IMU-RGBD Camera Navigation using Point and Plane Features", in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3164-3171, Tokyo, Japan, Nov. 3-7, 2013. [pdf]


[C4] G. Panahandeh, C. X. Guo, M. Jansson, and S. I. Roumeliotis, "Observability Analysis of a Vision-Aided Inertial Navigation System using Planar Features on the Ground", in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4187-4194, Tokyo, Japan, Nov. 3-7, 2013. [pdf]


[C3] C. X. Guo and S. I. Roumeliotis, "An Analytical Least-Squares Solution to the Line Scan LIDAR-Camera Extrinsic Calibration Problem", in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 2943-2948, Karlsruhe, Germany, May 6-10, 2013. [pdf]


[C2] C. X. Guo and S. I. Roumeliotis, "IMU-RGBD Camera 3D Pose Estimation and Extrinsic Calibration: Observability Analysis and Consistency Improvement", in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 2935-2942, Karlsruhe, Germany, May 6-10, 2013. [pdf]


[C1] C. X. Guo, F. M. Mirzaei, and S. I. Roumeliotis, "An Analytical Least-Squares Solution to the Odometer-Camera Extrinsic Calibration Problem", in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pp. 3962-3968, Saint Paul, Minnesota, May 14-18, 2012. [pdf]



Patents


[P2] S. I. Roumeliotis, and C. X. Guo, “Efficient Visual-Inertial Navigation using a Rolling-Shutter Camera with Inaccurate Timestamps”, US Patent 20,150,369,609.


[P1] S. I. Roumeliotis, D. G. Kottas, C. X. Guo, and J. A. Hesch, “Observability-constrained Vision-aided Inertial Navigation”, US Patent 20, 140, 316, 698.



Technical Reports


[R4] C. X. Guo, K. Sartipis, R. C. DuToit, G. Georgiou, R. Li, J. O'Leary, E. D. Nerurkar, J. A. Hesch and S. I. Roumeliotis, "Large-Scale Cooperative 3D Visual-Inertial Mapping in a Manhattan World", Technical Report, University of Minnesota, Dept. of Comp. Sci. & Eng., MARS Lab, February 2015. [pdf]


[R3] C. X. Guo, D. G. Kottas, R. C. DuToit, A. Ahmed, R. Li and S. I. Roumeliotis, "Efficient Visual-Inertial Navigation using a Rolling-Shutter Camera with Inaccurate Timestamps", Technical Report, University of Minnesota, Dept. of Comp. Sci. & Eng., MARS Lab, February 2014. [pdf]


[R2] C. X. Guo and S. I. Roumeliotis, "Observability-constrained EKF Implementation of the IMU-RGBD Camera Navigation using Point and Plane Features", Technical Report, University of Minnesota, Dept. of Comp. Sci. & Eng., MARS Lab, March 2013. [pdf]


[R1] C. X. Guo and S. I. Roumeliotis, "IMU-RGBD Camera Extrinsic Calibration:Observability Analysis and Consistency Improvement", Technical Report, University of Minnesota, Dept. of Comp. Sci. & Eng., MARS Lab, February 2012. [pdf]