47 citations · 109 across the 10 of their papers we have counts for
14 papers
Air-Ground Collaboration with SPOMP: Semantic Panoramic Online Mapping and Planning
Ian D. Miller, Fernando Cladera, Trey Smith +2
Mapping and navigation have gone hand-in-hand since long before robots existed. Maps are a key form of communication, allowing someone who has never been somewhere to nonetheless n…
Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics
Fernando Cladera, Ian D. Miller, Zachary Ravichandran +5
One common and desirable application of robots is exploring potentially hazardous and unstructured environments. Air-ground collaboration offers a synergistic approach to addressin…
Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications
Fernando Cladera, Zachary Ravichandran, Ian D. Miller +3
Multi-robot collaboration in large-scale environments with limited-sized teams and without external infrastructure is challenging, since the software framework required to support…
Active Metric-Semantic Mapping by Multiple Aerial Robots
Xu Liu, Ankit Prabhu, Fernando Cladera +4
Traditional approaches for active mapping focus on building geometric maps. For most real-world applications, however, actionable information is related to semantically meaningful…
Stronger Together: Air-Ground Robotic Collaboration Using Semantics
Ian D. Miller, Fernando Cladera, Trey Smith +2
In this work, we present an end-to-end heterogeneous multi-robot system framework where ground robots are able to localize, plan, and navigate in a semantic map created in real tim…
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…
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…
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
Shreyas S. Shivakumar, Neil Rodrigues, Alex Zhou +3
In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality for semantic segmentation using learning-based techniques. We first address the problem of…
Mine Tunnel Exploration using Multiple Quadrupedal Robots
Ian D. Miller, Fernando Cladera, Anthony Cowley +11
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees…
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,…
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
Yilun Zhang, Ty Nguyen, Ian D. Miller +4
Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution. Accurate depth se…
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification
Ty Nguyen, Tolga Ozaslan, Ian D. Miller +7
Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures. Conventional man…