Marcos Paul Gerardo Castro
Marcos Paul Gerardo Castro
IEEE; Research Scientist at Ford Research and Innovation Center
Verified email at ford.com - Homepage
Title
Cited by
Cited by
Year
High order weighted essentially non-oscillatory WENO-Z schemes for hyperbolic conservation laws
M Castro, B Costa, WS Don
Journal of Computational Physics 230 (5), 1766-1792, 2011
3922011
Evaluation of aerial remote sensing techniques for vegetation management in power-line corridors
SJ Mills, MPG Castro, Z Li, J Cai, R Hayward, L Mejias, RA Walker
IEEE Transactions on Geoscience and Remote Sensing 48 (9), 3379-3390, 2010
762010
Development of an autonomous unmanned aerial system to collect time‐stamped samples from the atmosphere and localize potential pathogen sources
F Gonzalez, MPG Castro, P Narayan, R Walker, L Zeller
Journal of Field Robotics 28 (6), 961-976, 2011
462011
Laser-to-radar sensing redundancy for resilient perception in adverse environmental conditions
M Castro, T Peynot
Proceedings of the 2012 Australasian Conference on Robotics and Automation, 1-8, 2012
182012
Laser-radar data fusion with gaussian process implicit surfaces
MP Gerardo-Castro, T Peynot, F Ramos
Field and Service Robotics, 289-302, 2015
152015
Multidisciplinary design and flight testing of a remote gas/particle airborne sensor system
F Gonzalez, M Gerardo Castro, F Tamagnone
Proceedings of the 28th Congress of the International Council of the …, 2012
112012
Explaining deep learning models through rule-based approximation and visualization
EA Soares, PP Angelov, B Costa, M Castro, S Nageshrao, D Filev
IEEE Transactions on Fuzzy Systems, 2020
102020
Robust multiple-sensing-modality data fusion using gaussian process implicit surfaces
MP Gerardo-Castro, T Peynot, F Ramos, R Fitch
17th International Conference on Information Fusion (FUSION), 1-8, 2014
82014
Laser-radar data fusion with Gaussian process implicit surfaces
M Gerardo Castro, T Peynot, F Ramos
Proceedings of the 9th Conference on Field and Service Robotics, 1-14, 2013
82013
Explainable density-based approach for self-driving actions classification
E Soares, P Angelov, D Filev, B Costa, M Castro, S Nageshrao
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
52019
Actively semi-supervised deep rule-based classifier applied to adverse driving scenarios
E Soares, P Angelov, B Costa, M Castro
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
52019
Non-parametric consistency test for multiple-sensing-modality data fusion
MP Gerardo-Castro, T Peynot, F Ramos, R Fitch
2015 18th International Conference on Information Fusion (Fusion), 443-451, 2015
52015
Field and Service Robotics: Results of the 9th International Conference
L Mejias, P Corke, J Roberts
Springer, 2014
52014
Radar-Camera Pixel Depth Association for Depth Completion
Y Long, D Morris, X Liu, M Castro, P Chakravarty, P Narayanan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
42021
Multi-sensor probabilistic object detection and automated braking
S Kadetotad, JJ Jain, VN Murali, D Liu, MPG Castro, AN Siddiqui
US Patent 10,315,649, 2019
42019
Object tracking using sensor fusion within a probabilistic framework
D Liu, S Kadetotad, MPG Castro, JJ Jain
US Patent 10,160,448, 2018
42018
Foliage Detection Training Systems And Methods
MPG Castro, JJ Jain, S Kadetotad, D Liu
US Patent App. 15/486,099, 2018
32018
Obstacle detection systems and methods
MPG Castro, D Liu, S Kadetotad, JJ Jain
US Patent 10,195,992, 2019
22019
Detecting foliage using range data
MPG Castro, S Kadetotad, D Liu, JJ Jain
US Patent 10,163,015, 2018
22018
Sensor Data Integrity and Mitigation of Perceptual Failures
T Peynot
SYDNEY UNIV (AUSTRALIA) AUSTRALIAN CENTER FOR FIELD ROBOTICS, 2012
12012
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Articles 1–20