39 citations · 81 across the 5 of their papers we have counts for
5 papers
EllipseLIO: Adaptive LiDAR Inertial Odometry with an Ellipsoid Representation
Rowan Border, Margarita Chli
LiDAR Inertial Odometry (LIO) is a critical component for many mobile robots that need to navigate without relying on external positioning (e.g., GPS). Platforms that operate auton…
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning
Rowan Border, Nived Chebrolu, Yifu Tao +2
Aerial mapping systems are important for many surveying applications (e.g., industrial inspection or agricultural monitoring). Aerial platforms that can fly GPS-guided preplanned m…
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning
Rowan Border, Jonathan D. Gammell
High-quality observations of the real world are crucial for a variety of applications, including producing 3D printed replicas of small-scale scenes and conducting inspections of l…
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation
Rowan Border, Jonathan D. Gammell
The process of planning views to observe a scene is known as the Next Best View (NBV) problem. Approaches often aim to obtain high-quality scene observations while reducing the num…
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations
Rowan Border, Jonathan D. Gammell, Paul Newman
Surveying 3D scenes is a common task in robotics. Systems can do so autonomously by iteratively obtaining measurements. This process of planning observations to improve the model o…