Papers

M. Hansen, R. Elphic, T. Fong, and D. Wettergreen, “Improving Predictive Modeling for Robotic Resource Mapping with Non-Stationary Process Effects and Sensor Noise Estimation,” 2024 International Symposium on Artificial Intelligence, Robotics and Automation in Space, Brisbane, QLD, Australia, 2024 (forthcoming).

M. Hansen, U. Wong, and T. Fong, “The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions,” arXiv preprint, 2024, accessed at https://arxiv.org/abs/2403.12194.

M. Hansen, C. Adams, T. Fong, and D. Wettergreen, “Analyzing the Effectiveness of Neural Radiance Fields for Geometric Modeling of Lunar Terrain,” 2024 IEEE Aerospace Conference, Big Sky, MT, USA, 2024, pp. 1-12, doi: 10.1109/AERO58975.2024.10521163.

M. Hansen and D. Wettergreen, “Range-based GP Maps: Local Surface Mapping for Mobile Robots using Gaussian Process Regression in Range Space,” 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 7241-7248, doi: 10.1109/IROS55552.2023.10341949.