Miguel Angel Sotelo mainly focuses on Artificial intelligence, Computer vision, Simulation, Poison control and Machine vision. His studies in Artificial intelligence integrate themes in fields like Pedestrian and Pattern recognition. His Computer vision study combines topics in areas such as Artificial neural network and Robustness.
His Simulation study integrates concerns from other disciplines, such as Intelligent transportation system, Fuzzy control system, Control engineering, Real-time computing and Global Positioning System. His Feature extraction research focuses on Object detection and how it relates to Windshield. Miguel Angel Sotelo works mostly in the field of Sensor fusion, limiting it down to concerns involving Eye movement and, occasionally, Image processing.
Miguel Angel Sotelo mostly deals with Artificial intelligence, Computer vision, Simulation, Intelligent transportation system and Real-time computing. His biological study deals with issues like Pedestrian, which deal with fields such as Machine learning. His Computer vision study incorporates themes from Global Positioning System and Robustness.
Miguel Angel Sotelo performs multidisciplinary study on Simulation and Poison control in his works. His work carried out in the field of Intelligent transportation system brings together such families of science as Control engineering, Control theory, Cruise control and Monocular vision. His research integrates issues of Classifier and Pedestrian detection in his study of Support vector machine.
His primary areas of study are Artificial intelligence, Computer vision, Deep learning, Control theory and Trajectory. He combines subjects such as Machine learning and Pedestrian with his study of Artificial intelligence. His Computer vision research incorporates themes from Global Positioning System and Position.
The various areas that he examines in his Global Positioning System study include Real-time computing, Software deployment and Robustness. His research investigates the link between Deep learning and topics such as Task analysis that cross with problems in Truck. Miguel Angel Sotelo studied Control theory and Fuzzy logic that intersect with Control engineering, Variable structure control and Sliding mode control.
His primary areas of investigation include Artificial intelligence, Control theory, Computer vision, Control system and Robustness. His Artificial intelligence research integrates issues from Machine learning and Pedestrian. His work on Kalman filter is typically connected to Water transport as part of general Control theory study, connecting several disciplines of science.
Miguel Angel Sotelo interconnects Artificial neural network, Random forest and Computer simulation in the investigation of issues within Computer vision. His Control system study also includes
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Real-time system for monitoring driver vigilance
L.M. Bergasa;J. Nuevo;M.A. Sotelo;R. Barea.
IEEE Transactions on Intelligent Transportation Systems (2006)
Adaptive Road Crack Detection System by Pavement Classification
Miguel Gavilán;David Balcones;Oscar Marcos;David F. Llorca.
Combination of Feature Extraction Methods for SVM Pedestrian Detection
I.P. Alonso;D.F. Llorca;M.A. Sotelo;L.M. Bergasa.
IEEE Transactions on Intelligent Transportation Systems (2007)
Fast traffic sign detection and recognition under changing lighting conditions
M.A. Garcia-Garrido;M.A. Sotelo;E. Martm-Gorostiza.
international conference on intelligent transportation systems (2006)
Autonomous Pedestrian Collision Avoidance Using a Fuzzy Steering Controller
D F Llorca;V Milanes;I P Alonso;M Gavilan.
IEEE Transactions on Intelligent Transportation Systems (2011)
A Color Vision-Based Lane Tracking System for Autonomous Driving on Unmarked Roads
Miguel Angel Sotelo;Francisco Javier Rodriguez;Luis Magdalena;Luis Miguel Bergasa.
Autonomous Robots (2004)
Using Fuzzy Logic in Automated Vehicle Control
J.E. Naranjo;C. Gonzalez;R. Garcia;T. de Pedro.
IEEE Intelligent Systems (2007)
Intelligent automatic overtaking system using vision for vehicle detection
Vicente Milanés;David F. Llorca;Jorge Villagrá;Joshué Pérez.
Expert Systems With Applications (2012)
Vehicle logo recognition in traffic images using HOG features and SVM
D. F. Llorca;R. Arroyo;M. A. Sotelo.
international conference on intelligent transportation systems (2013)
VIRTUOUS: vision-based road transportation for unmanned operation on urban-like scenarios
M.A. Sotelo;F.J. Rodriguez;L. Magdalena.
IEEE Transactions on Intelligent Transportation Systems (2004)
Profile was last updated on December 6th, 2021.
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