3 citations · 3 across the 3 of their papers we have counts for
3 papers
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya, Caleb Lee, Marissa D'Alonzo +3
Deep learning offers promising new ways to accurately model aleatoric uncertainty in robotic state estimation systems, particularly when the uncertainty distributions do not confor…
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction
E. Jared Shamwell, Sarah Leung, William D. Nothwang
We present an unsupervised deep neural network approach to the fusion of RGB-D imagery with inertial measurements for absolute trajectory estimation. Our network, dubbed the Visual…
Multi-Hypothesis Visual-Inertial Flow
E. Jared Shamwell, William D. Nothwang, Donald Perlis
Estimating the correspondences between pixels in sequences of images is a critical first step for a myriad of tasks including vision-aided navigation (e.g., visual odometry (VO), v…