47 citations · 49 across the 4 of their papers we have counts for
9 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…
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…
Robust, Perception Based Control with Quadrotors
Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen +2
Traditionally, controllers and state estimators in robotic systems are designed independently. Controllers are often designed assuming perfect state estimation. However, state esti…
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…
Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
Ty Nguyen, Kartik Mohta, Camillo J. Taylor +1
We address the localization of robots in a multi-MAV system where external infrastructure like GPS or motion capture systems may not be available. Our approach lends itself to impl…
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Ty Nguyen, Shreyas S. Shivakumar, Ian D. Miller +9
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection. In this work,…