Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving
As autonomous driving technologies advance, the need for human-in-the-loop systems becomes increasingly critical to ensure safety, adaptability, and public confidence. This paper presents the design and evaluation of a context-aware immersive teleoperation interface that integrates real-time simulat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/15/4679 |
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| author | Irene Bouzón Jimena Pascual Cayetana Costales Aser Crespo Covadonga Cima David Melendi |
| author_facet | Irene Bouzón Jimena Pascual Cayetana Costales Aser Crespo Covadonga Cima David Melendi |
| author_sort | Irene Bouzón |
| collection | DOAJ |
| description | As autonomous driving technologies advance, the need for human-in-the-loop systems becomes increasingly critical to ensure safety, adaptability, and public confidence. This paper presents the design and evaluation of a context-aware immersive teleoperation interface that integrates real-time simulation, virtual reality, and multimodal feedback to support remote interventions in emergency scenarios. Built on a modular ROS2 architecture, the system allows seamless transition between simulated and physical platforms, enabling safe and reproducible testing. The experimental results show a high task success rate and user satisfaction, highlighting the importance of intuitive controls, gesture recognition accuracy, and low-latency feedback. Our findings contribute to the understanding of human-robot interaction (HRI) in immersive teleoperation contexts and provide insights into the role of multisensory feedback and control modalities in building trust and situational awareness for remote operators. Ultimately, this approach is intended to support the broader acceptability of autonomous driving technologies by enhancing human supervision, control, and confidence. |
| format | Article |
| id | doaj-art-f04530859d83473ca84fb9cbecf4e73f |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-f04530859d83473ca84fb9cbecf4e73f2025-08-20T03:36:23ZengMDPI AGSensors1424-82202025-07-012515467910.3390/s25154679Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous DrivingIrene Bouzón0Jimena Pascual1Cayetana Costales2Aser Crespo3Covadonga Cima4David Melendi5CTIC Foundation, 33203 Gijón, Asturias, SpainCTIC Foundation, 33203 Gijón, Asturias, SpainCTIC Foundation, 33203 Gijón, Asturias, SpainCTIC Foundation, 33203 Gijón, Asturias, SpainCTIC Foundation, 33203 Gijón, Asturias, SpainDepartment of Informatics, University of Oviedo, 33203 Gijón, Asturias, SpainAs autonomous driving technologies advance, the need for human-in-the-loop systems becomes increasingly critical to ensure safety, adaptability, and public confidence. This paper presents the design and evaluation of a context-aware immersive teleoperation interface that integrates real-time simulation, virtual reality, and multimodal feedback to support remote interventions in emergency scenarios. Built on a modular ROS2 architecture, the system allows seamless transition between simulated and physical platforms, enabling safe and reproducible testing. The experimental results show a high task success rate and user satisfaction, highlighting the importance of intuitive controls, gesture recognition accuracy, and low-latency feedback. Our findings contribute to the understanding of human-robot interaction (HRI) in immersive teleoperation contexts and provide insights into the role of multisensory feedback and control modalities in building trust and situational awareness for remote operators. Ultimately, this approach is intended to support the broader acceptability of autonomous driving technologies by enhancing human supervision, control, and confidence.https://www.mdpi.com/1424-8220/25/15/4679teleoperationautonomous vehiclesvirtual realitysituational awarenessimmersive interfacemultimodal feedback |
| spellingShingle | Irene Bouzón Jimena Pascual Cayetana Costales Aser Crespo Covadonga Cima David Melendi Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving Sensors teleoperation autonomous vehicles virtual reality situational awareness immersive interface multimodal feedback |
| title | Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving |
| title_full | Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving |
| title_fullStr | Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving |
| title_full_unstemmed | Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving |
| title_short | Design, Implementation and Evaluation of an Immersive Teleoperation Interface for Human-Centered Autonomous Driving |
| title_sort | design implementation and evaluation of an immersive teleoperation interface for human centered autonomous driving |
| topic | teleoperation autonomous vehicles virtual reality situational awareness immersive interface multimodal feedback |
| url | https://www.mdpi.com/1424-8220/25/15/4679 |
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