Brandon Wagstaff

収録論文 10本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry
  2022/3/1
• On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion
  2021/6/1
• Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
  2021/2/1
• Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation
  2020/9/1
• Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
  2020/8/1
• Self-Supervised Deep Pose Corrections for Robust Visual Odometry
  2020/2/1
• Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation
  2019/10/1
• Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network
  2019/4/1
• LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation
  2018/7/1
• Improving Foot-Mounted Inertial Navigation Through Real-Time Motion Classification
  2017/7/1