202 citations · 270 across the 8 of their papers we have counts for
22 papers
Any Way You Look At It: Semantic Crossview Localization and Mapping with LiDAR
Ian D. Miller, Anthony Cowley, Ravi Konkimalla +5
Currently, GPS is by far the most popular global localization method. However, it is not always reliable or accurate in all environments. SLAM methods enable local state estimation…
DSOL: A Fast Direct Sparse Odometry Scheme
Chao Qu, Shreyas S. Shivakumar, Ian D. Miller +1
In this paper, we describe Direct Sparse Odometry Lite (DSOL), an improved version of Direct Sparse Odometry (DSO). We propose several algorithmic and implementation enhancements w…
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Chao Qu, Wenxin Liu, Camillo J. Taylor
In this work we investigate the problem of uncertainty estimation for image-guided depth completion. We extend Deep Basis Fitting (DBF) for depth completion within a Bayesian evide…
UPSLAM: Union of Panoramas SLAM
Anthony Cowley, Ian D. Miller, Camillo Jose Taylor
We present an empirical investigation of a new mapping system based on a graph of panoramic depth images. Panoramic images efficiently capture range measurements taken by a spinnin…
PennSyn2Real: Training Object Recognition Models without Human Labeling
Ty Nguyen, Ian D. Miller, Avi Cohen +5
Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100,000 4K images of…
Depth Completion via Deep Basis Fitting
Chao Qu, Ty Nguyen, Camillo J. Taylor
In this paper we consider the task of image-guided depth completion where our system must infer the depth at every pixel of an input image based on the image content and a sparse s…