87 citations · 144 across the 7 of their papers we have counts for
8 papers
Cost-Effective Radar Sensors for Field-Based Water Level Monitoring with Sub-Centimeter Accuracy
Anna Zavei-Boroda, J. Toby Minear, Kyle Harlow +2
Water level monitoring is critical for flood management, water resource allocation, and ecological assessment, yet traditional methods remain costly and limited in coverage. This w…
RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling
Ajay Narasimha Mopidevi, Kyle Harlow, Christoffer Heckman
Millimeter Wave Radar is being adopted as a viable alternative to lidar and radar in adverse visually degraded conditions, such as the presence of fog and dust. However, this senso…
A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics
Kyle Harlow, Hyesu Jang, Timothy D. Barfoot +2
We survey the current state of millimeterwave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of th…
Flexible Supervised Autonomy for Exploration in Subterranean Environments
Harel Biggie, Eugene R. Rush, Danny G. Riley +9
While the capabilities of autonomous systems have been steadily improving in recent years, these systems still struggle to rapidly explore previously unknown environments without t…
Present and Future of SLAM in Extreme Underground Environments
Kamak Ebadi, Lukas Bernreiter, Harel Biggie +28
This paper reports on the state of the art in underground SLAM by discussing different SLAM strategies and results across six teams that participated in the three-year-long SubT co…
Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration
Michael T. Ohradzansky, Eugene R. Rush, Danny G. Riley +9
Artificial intelligence has undergone immense growth and maturation in recent years, though autonomous systems have traditionally struggled when fielded in diverse and previously u…
ColoRadar: The Direct 3D Millimeter Wave Radar Dataset
Andrew Kramer, Kyle Harlow, Christopher Williams +1
Millimeter wave radar is becoming increasingly popular as a sensing modality for robotic mapping and state estimation. However, there are very few publicly available datasets that…
Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps
Samuel Bateman, Kyle Harlow, Christoffer Heckman
Many modern simultaneous localization and mapping (SLAM) techniques rely on sparse landmark-based maps due to their real-time performance. However, these techniques frequently asse…