Antonio Artuñedo

IEEE Trans. Intell. Veh., January, 2024

2023

Object-Level Semantic and Velocity Feedback for Dynamic Occupancy Grids.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., July, 2023

Multi-Modal Interaction-Aware Motion Prediction at Unsignalized Intersections.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., May, 2023

Speed Profile Generation Strategy for Efficient Merging of Automated Vehicles on Roundabouts With Realistic Traffic.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., March, 2023

Object-wise comparison of LiDAR occupancy grid scan rendering methods.

[BibT_eX]

[DOI]

Robotics Auton. Syst., March, 2023

Lateral control for autonomous vehicles: A comparative evaluation.

[BibT_eX]

[DOI]

Marcos Moreno-Gonzalez

CoRR, 2023

2022

Results of a comparison of traffic-free path planning primitives.

[BibT_eX]

[DOI]

Dataset, May, 2022

Jerk-Limited Time-Optimal Speed Planning for Arbitrary Paths.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Speed-Adaptive Model-Free Lateral Control for Automated Cars.

[BibT_eX]

[DOI]

Marcos Moreno-Gonzalez

CoRR, 2022

Object-based Velocity Feedback for Dynamic Occupancy Grids.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Merit-Based Motion Planning for Autonomous Vehicles in Urban Scenarios.

[BibT_eX]

[DOI]

Sensors, 2021

A Grid-Based Framework for Collective Perception in Autonomous Vehicles.

[BibT_eX]

[DOI]

Sensors, 2021

Interaction-Aware Intention Estimation at Roundabouts.

[BibT_eX]

[DOI]

IEEE Access, 2021

Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Comparison of Lateral Intention Models for Interaction-aware Motion Prediction at Highways.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

Interaction-Aware Motion Prediction at Highways: A Comparison of Three Lane Changing Models.

[BibT_eX]

[DOI]

Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2021

Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3.

[BibT_eX]

[DOI]

Milad Karimshoushtari

Nicolae-Catalin Ristea

Martin Törngren

Alua Musralina

Marlene Harter

Joseena Memadathil Jose

George Dimitrakopoulos

Proceedings of the 24th Euromicro Conference on Digital System Design, 2021

2020

Motion Planning Approach Considering Localization Uncertainty.

[BibT_eX]

[DOI]

M. Dolores del Castillo

IEEE Trans. Veh. Technol., 2020

Reachability Estimation in Dynamic Driving Scenes for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Machine learning based motion planning approach for intelligent vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Traded Control Architecture for Automated Vehicles Enabled by the Scene Complexity Estimation.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications, 2020

Interaction-aware risk assessment: focus on the lateral intention.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE Connected and Automated Vehicles Symposium, 2020

2019

Self-Generated OSM-Based Driving Corridors.

[BibT_eX]

[DOI]

IEEE Access, 2019

Real-Time Motion Planning Approach for Automated Driving in Urban Environments.

[BibT_eX]

[DOI]

IEEE Access, 2019

A decision-making architecture for automated driving without detailed prior maps.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

A Primitive Comparison for Traffic-Free Path Planning.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System.

[BibT_eX]

[DOI]

Sensors, 2017

Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks.

[BibT_eX]

[DOI]

Raúl M. del Toro

Rodolfo E. Haber

Sensors, 2017

Smooth path planning for urban autonomous driving using OpenStreetMaps.

[BibT_eX]

[DOI]