José Miguel TORRES CÁMARA
jmtc7
Multilingual AI & Data Engineer (Computer Vision | MLOps | Big Data) with 5+ years of experience in Automotive, research, and EU projects
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Notes and labs of the Autoware.Auto and ROS 2 course I did in 2020.
My End-of-Degree thesis. Visual SLAM, DL, 3D sparse and dense maps and Computer Vision.
Notes and challenges of my Self-Driving Car Engineer Nanodegree.
Behaviour and path planning for highway driving. It allows a simulated car to decide its near future trajectory, including speed variations and passing slower vehicles.
A Particle Filter-based localization algorithm to localize a vehicle in a map with sparse features seen by a LIDAR-like sensor.
Uses color and gradient filtering, image warping, sliding windows with histogram prior and polynomial fitting to segment lanes and estimate its curvature and the car's position.
Repositories
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Cursos de preparación para el Máster en Big Data y Visual Analytics de la UNIR
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Notes and labs of the Autoware.Auto and ROS 2 course I did in 2020.
My End-of-Degree thesis. Visual SLAM, DL, 3D sparse and dense maps and Computer Vision.
A Particle Filter-based localization algorithm to localize a vehicle in a map with sparse features seen by a LIDAR-like sensor.
Notes of Kaggle Trainings
Notes and challenges of my Self-Driving Car Engineer Nanodegree.
Behaviour and path planning for highway driving. It allows a simulated car to decide its near future trajectory, including speed variations and passing slower vehicles.
Uses color and gradient filtering, image warping, sliding windows with histogram prior and polynomial fitting to segment lanes and estimate its curvature and the car's position.
The result of my internship in CFZ Cobots (Elche, Spain)
A light simple lane finding algorithm based in Hough line adjustment over Canny edge detection over color-binarized images.
An End-to-End CNN that is able to drive a car around a single lane circuit using only monocular data from one camera.
An EKF-based algorithm that fuses RADAR and LIDAR data to track a vehicle.
A ROS-based self-driving car.
A PID controller to determine the necessary steering angle to keep an autonomous car centered in its lane.
A Deep Learning-based traffic sign classifier that classifies more than 40 signs using the LeNet-5 architecture.