Miguel Angel Sotelo

Full Professor

Universidad de Alcalá

Spain

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Professor Miguel Angel Sotelo is a Full Professor at Universidad de Alcalá, Spain. His research focuses on autonomous vehicles, including pedestrian and vehicle interaction, explainable behavior prediction, and path planning. He has published extensively on the applications of both virtual and real-world scenarios in autonomous driving, as well as resilient control mechanisms for unmanned vehicles.

Articles (24)

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2025

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2022

Collaborators (3)

David Fernández-Llorca

Universidad de Alcalá

SPAIN

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Jiangchen Li

POLAND

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Zhixiong Li

Opole University

POLAND

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Miguel Angel Sotelo

Research Interests

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About

Articles (24)

Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario

Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving

A Real-Time Approach for Multiphysics Field Reconstruction of Active Phased Array Antenna

RAG-based explainable prediction of road users behaviors for automated driving using knowledge graphs and large language models

New RRT-based Method for Vehicle Path Planning in Curve Scenarios Considering Path Oscillations

L₂-Gain-Based Path Following Control for Autonomous Vehicles Under Time-Constrained DoS Attacks

Behavioural Gap Assessment of Human-Vehicle Interaction in Real and Virtual Reality-Based Scenarios in Autonomous Driving

Resilient Control for Networked Unmanned Surface Vehicles With Dynamic Event-Triggered Mechanism Under Aperiodic DoS Attacks

Localization for Intelligent Vehicles in Underground Car Parks Based on Semantic Information

An Ego-Lane Estimation Method With Sensor Failure Modeling

DAIR-V2XReid: A New Real-World Vehicle-Infrastructure Cooperative Re-ID Dataset and Cross-Shot Feature Aggregation Network Perception Method

Real-Time Hydrogen Refuelling of the Fuel Cell Electric Vehicle Through the Coupled Transportation Network and Power System

Time Delay Error Online Correction of LiDAR-IMU System Through MSCKF Integrated DLRNN Method

Prof. Miguel Ángel Sotelo [Its People]

Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs

Dynamic Event-Triggered Adaptive Formation With Disturbance Rejection for Marine Vehicles Under Unknown Model Dynamics

Dynamic Event-Triggered Adaptive Neural Output Feedback Control for MSVs Using Composite Learning

CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm With Spatial Awareness Enhancement

Stochastic Thermal-Structural-Electromagnetic Coupling Analysis of Phased Arrays with Random Material Parameters

SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes

Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations

C C I B A: An Improved BA Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles

Event-Triggered Adaptive Fuzzy Setpoint Regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints

Event-Triggered H∞ Load Frequency Control for Multi-Area Nonlinear Power Systems Based on Non-Fragile Proportional Integral Control Strategy

Collaborators (3)

David Fernández-Llorca

Jiangchen Li

Zhixiong Li

Make your next move.

Miguel Angel Sotelo

Research Interests

Explore related searches

Contact this professor

About

Articles (24)

Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario

Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving

A Real-Time Approach for Multiphysics Field Reconstruction of Active Phased Array Antenna

RAG-based explainable prediction of road users behaviors for automated driving using knowledge graphs and large language models

New RRT-based Method for Vehicle Path Planning in Curve Scenarios Considering Path Oscillations

L₂-Gain-Based Path Following Control for Autonomous Vehicles Under Time-Constrained DoS Attacks

Behavioural Gap Assessment of Human-Vehicle Interaction in Real and Virtual Reality-Based Scenarios in Autonomous Driving

Resilient Control for Networked Unmanned Surface Vehicles With Dynamic Event-Triggered Mechanism Under Aperiodic DoS Attacks

Localization for Intelligent Vehicles in Underground Car Parks Based on Semantic Information

An Ego-Lane Estimation Method With Sensor Failure Modeling

DAIR-V2XReid: A New Real-World Vehicle-Infrastructure Cooperative Re-ID Dataset and Cross-Shot Feature Aggregation Network Perception Method

Real-Time Hydrogen Refuelling of the Fuel Cell Electric Vehicle Through the Coupled Transportation Network and Power System

Time Delay Error Online Correction of LiDAR-IMU System Through MSCKF Integrated DLRNN Method

Prof. Miguel Ángel Sotelo [Its People]

Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs

Dynamic Event-Triggered Adaptive Formation With Disturbance Rejection for Marine Vehicles Under Unknown Model Dynamics

Dynamic Event-Triggered Adaptive Neural Output Feedback Control for MSVs Using Composite Learning

CenterPoint-SE: A Single-Stage Anchor-Free 3-D Object Detection Algorithm With Spatial Awareness Enhancement

Stochastic Thermal-Structural-Electromagnetic Coupling Analysis of Phased Arrays with Random Material Parameters

SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes

Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations

C C I B A*: An Improved BA* Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles

Event-Triggered Adaptive Fuzzy Setpoint Regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints

Event-Triggered H∞ Load Frequency Control for Multi-Area Nonlinear Power Systems Based on Non-Fragile Proportional Integral Control Strategy

Collaborators (3)

David Fernández-Llorca

Jiangchen Li

Zhixiong Li

Make your next move.

C C I B A: An Improved BA Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles