61 citations · 101 across the 8 of their papers we have counts for
9 papers
ForestAlign: Automatic Forest Structure-based Alignment for Multi-view TLS and ALS Point Clouds
Juan Castorena, L. Turin Dickman, Adam J. Killebrew +3
Access to highly detailed models of heterogeneous forests, spanning from the near surface to above the tree canopy at varying scales, is increasingly in demand. This enables advanc…
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data
Juan Castorena, Diane Oyen
In this work we propose a deep learning approach to clean spectroscopy signals using only uncleaned data. Cleaning signals from spectroscopy instrument noise is challenging as nois…
Estimating the propagation of a uniformly accelerated jet
J. I. Castorena, A. C. Raga, A. Esquivel +4
We study the problem of a Herbig-Haro jet with a uniformly accelerating ejection velocity, travelling into a uniform environment. For the ejection density we consider two cases: a…
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy
Juan Castorena, Diane Oyen, Ann Ollila +2
This work proposes a spectral convolutional neural network (CNN) operating on laser induced breakdown spectroscopy (LIBS) signals to learn to (1) disentangle spectral signals from…
Learning Spatial Relationships between Samples of Patent Image Shapes
Juan Castorena, Manish Bhattarai, Diane Oyen
Binary image based classification and retrieval of documents of an intellectual nature is a very challenging problem. Variations in the binary image generation mechanisms which are…
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Manish Bhattarai, Diane Oyen, Juan Castorena +2
Resolution of the complex problem of image retrieval for diagram images has yet to be reached. Deep learning methods continue to excel in the fields of object detection and image c…
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles
Juan Castorena, Gint Puskorius, Gaurav Pandey
This work proposes a novel motion guided method for target-less self-calibration of a LiDAR and camera and use the re-projection of LiDAR points onto the image reference frame for…
Ground Edge based LIDAR Localization without a Reflectivity Calibration for Autonomous Driving
Juan Castorena, Siddharth Agarwal
In this work we propose an alternative formulation to the problem of ground reflectivity grid based localization involving laser scanned data from multiple LIDARs mounted on autono…
Computational Mapping of the Ground Reflectivity with Laser Scanners
Juan Castorena
In this investigation we focus on the problem of mapping the ground reflectivity with multiple laser scanners mounted on mobile robots/vehicles. The problem originates because regi…