Luis Miguel
Bergasa Pascual
Catedrático/a de Universidad
Publicaciones en las que colabora con Luis Miguel Bergasa Pascual (91)
2024
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DRVMon-VM: Distracted driver recognition using large pre-trained video transformers
IEEE Intelligent Vehicles Symposium, Proceedings
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Decision Making for Autonomous Driving Stack: Shortening the Gap from Simulation to Real-World Implementations
IEEE Intelligent Vehicles Symposium, Proceedings
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Efficient Baselines for Motion Prediction in Autonomous Driving
IEEE Transactions on Intelligent Transportation Systems, Vol. 25, Núm. 5, pp. 4192-4205
2023
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Augmented Reinforcement Learning with Efficient Social-Based Motion Prediction for Autonomous Decision-Making
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios
IEEE Intelligent Vehicles Symposium, Proceedings
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Hybrid MPC and Spline-Based Controller for Lane Change Maneuvers in Autonomous Vehicles
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
2022
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360 ∘ real-time and power-efficient 3D DAMOT for autonomous driving applications
Multimedia Tools and Applications, Vol. 81, Núm. 19, pp. 26915-26940
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ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network
IEEE Intelligent Vehicles Symposium, Proceedings
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Deep reinforcement learning based control for Autonomous Vehicles in CARLA
Multimedia Tools and Applications, Vol. 81, Núm. 3, pp. 3553-3576
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Exploring Attention GAN for Vehicle Motion Prediction
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator
Sensors, Vol. 22, Núm. 21
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Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology
Multimedia Tools and Applications, Vol. 81, Núm. 3, pp. 4213-4240
2021
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360$$^{\circ }$$ Real-Time 3D Multi-object Detection and Tracking for Autonomous Vehicle Navigation
Advances in Intelligent Systems and Computing
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Autonomous Vehicle Control in CARLA Challenge
Transportation Research Procedia
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Autonomous vehicle control in CARLA Challenge
R-evolucionando el transporte [Recurso electrónico]: XIV Congreso de Ingeniería del Transporte. Universidad de Burgos 6, 7 y 8 de julio 2021
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DQN-Based Deep Reinforcement Learning for Autonomous Driving
Advances in Intelligent Systems and Computing
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Deep reinforcement learning based control algorithms: Training and validation using the ROS framework in CARLA simulator for self-driving applications
IEEE Intelligent Vehicles Symposium, Proceedings
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Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios
Advances in Intelligent Systems and Computing