Vinicio Rosas-Cervantes PhD.
Vinicio Rosas-Cervantes PhD.
Embedded Files
Publications
Publications
Mobile robot 3D trajectory estimation on a multilevel surface with multimodal fusion of 2D camera features and a 3D light detection and ranging point cloud
Mobile robot 3D trajectory estimation on a multilevel surface with multimodal fusion of 2D camera features and a 3D light detection and ranging point cloud
2022 International Journal of Advanced Robotic Systems, SAGE.
2021 Sensors International Journal, Multidisciplinary Digital Publishing Institute.
2020 International Journal of Control, Automation and Systems, Springer.
2018 International Conference on Electronics, Information, and Communication, ICEIC.
2018 International Conference on Control, Automation and Systems, ICCAS.
Mobile robot localization and path planning based on Feature recognition and Dijkastra’s Algorithm
Mobile robot localization and path planning based on Feature recognition and Dijkastra’s Algorithm
2017 International Conference on Control, Automation and Systems, ICCAS.
Aggregated Hierarchical Sliding Mode Control for Vibration Suppression of an Excavator on an Elastic Foundation
Aggregated Hierarchical Sliding Mode Control for Vibration Suppression of an Excavator on an Elastic Foundation
2020, International Journal of Precision Engineering and Manufacturing, Springer.
Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator
Robust Finite-Time Convergence Control Mechanism for High-Precision Tracking in a Hybrid Fluid Power Actuator
2020, Institute of Electrical and Electronics Engineers, IEEE Access.
Projects
Projects
Point Cloud Processing for Autonomous Driving Vehicles
Point Cloud Processing for Autonomous Driving Vehicles
3D point cloud processing using point distribution and geometric properties for obstacle detection. The processing was implemented in C++, using the PCL library.
Boat detection for Unmanned Surface Vehicles using Faster R-CNN
Boat detection for Unmanned Surface Vehicles using Faster R-CNN
Boat detection using color segmentation and deep learning. The faster region convolutional neural network has a Mini Batch Size of 128 and a Convolutional Layer Size of 128x256x512.
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