Field Deployment of the Tethered Robotic eXplorer to Map Extremely Steep Terrain. - Patrick McGarey; David J. Yoon; Tim Y. Tang; François Pomerleau; Timothy D. Barfoot (FSR, 2017)

Learning a Bias Correction for Lidar-Only Motion Estimation. - Tim Y. Tang; David J. Yoon; François Pomerleau; Timothy D. Barfoot (CRV, 2018)

Developing and deploying a tethered robot to map extremely steep terrain. - Patrick McGarey; David J. Yoon; Tim Y. Tang; François Pomerleau; Timothy D. Barfoot (J. Field Robotics, 2018)

Mapless Online Detection of Dynamic Objects in 3D Lidar. - David J. Yoon; Tim Y. Tang; Timothy D. Barfoot (CRV, 2019)

A White-Noise-on-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3). - Tim Yuqing Tang; David Juny Yoon; Timothy D. Barfoot (IEEE Robotics Autom. Lett., 2019)

Self-Supervised Localisation between Range Sensors and Overhead Imagery. - Tim Y. Tang; Daniele De Martini; Shangzhe Wu; Paul Newman 001 (Robotics: Science and Systems, 2020)

RSL-Net: Localising in Satellite Images From a Radar on the Ground. - Tim Yuqing Tang; Daniele De Martini; Dan Barnes; Paul Newman 001 (IEEE Robotics Autom. Lett., 2020)

Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery. - Tim Y. Tang; Daniele De Martini; Paul Newman 001 (Robotics: Science and Systems, 2021)

Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. - Tim Y. Tang; Daniele De Martini; Shangzhe Wu; Paul Newman 001 (Int. J. Robotics Res., 2021)

Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data. - Tim Y. Tang; Daniele De Martini; Paul M. Newman (Robotics: Science and Systems, 2023)

Point-based metric and topological localisation between lidar and overhead imagery. - Tim Yuqing Tang; Daniele De Martini; Paul Newman 001 (Auton. Robots, 2023)