10 citations · 18 across the 6 of their papers we have counts for
6 papers
Predictive Spatio-Temporal Scene Graphs for Semi-Static Scenes
Miguel Saavedra-Ruiz, Charlie Gauthier, Kumaraditya Gupta +4
We have seen tremendous recent progress in our ability to build "spatio-semantic" representations that enable robots to perform complex reasoning across geometry and semantics. How…
Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection
Alexandre Girard, Steven A. Parkison, Philippe Hamelin
Drones can inspect overhead power lines while they remain energized, significantly simplifying the inspection process. However, localizing a drone relative to all conductors using…
The Harmonic Exponential Filter for Nonparametric Estimation on Motion Groups
Miguel Saavedra-Ruiz, Steven A. Parkison, Ria Arora +2
Bayesian estimation is a vital tool in robotics as it allows systems to update the robot state belief using incomplete information from noisy sensors. To render the state estimatio…
A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras
Ray Zhang, Tzu-Yuan Lin, Chien Erh Lin +5
This paper reports on a novel nonparametric rigid point cloud registration framework that jointly integrates geometric and semantic measurements such as color or semantic labels in…
Sparse Bayesian Inference for Dense Semantic Mapping
Lu Gan, Maani Ghaffari Jadidi, Steven A. Parkison +1
Despite impressive advances in simultaneous localization and mapping, dense robotic mapping remains challenging due to its inherent nature of being a high-dimensional inference pro…
Gaussian Processes Semantic Map Representation
Maani Ghaffari Jadidi, Lu Gan, Steven A. Parkison +2
In this paper, we develop a high-dimensional map building technique that incorporates raw pixelated semantic measurements into the map representation. The proposed technique uses G…