no code implementations • 22 Feb 2021 • David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot
Though the framework is general to any form of parameter learning and sensor modality, we demonstrate application to feature and uncertainty learning with a deep network for 3D lidar odometry.
Variational Inference Robotics
no code implementations • 21 Mar 2020 • Jeremy N. Wong, David J. Yoon, Angela P. Schoellig, Timothy D. Barfoot
Our contribution is to additionally learn parameters of our system models (which may be difficult to choose in practice) within the ESGVI framework.
no code implementations • 19 Sep 2018 • David J. Yoon, Tim Y. Tang, Timothy D. Barfoot
This paper presents a model-free, setting-independent method for online detection of dynamic objects in 3D lidar data.