HMI Engineering for Autonomous Vehicles (Levels 2–4) — handover, trust, explainability, and supervised driving.
About us HMI Engineering for Autonomous Vehicles (Levels 2–4) — handover, trust, explainability, and supervised driving.
HMI engineering for autonomous vehicles (Levels 2–4) is essential for optimizing human-machine interaction in ADS systems with supervised driving, including advanced handover management, user trust, and algorithm explainability. This field integrates technical areas such as adaptive control, multisensory perception, haptic interfaces, and confidence algorithms based on predictive models, applying methodologies such as SIL, HIL, and real-time simulation to validate the safe transition between autonomous and manual modes. In addition, interpretable machine learning tools, ergonomic design influenced by standards such as ISO 9241, and functional certification frameworks in accordance with international standards are utilized.
The laboratory’s capabilities include interoperability testing of LiDAR, radar, and camera sensors, real-time monitoring with advanced data acquisition, and failure analysis in simulated environments, ensuring traceability in accordance with ISO 26262 and applicable international regulations for functional safety in autonomous vehicles. Alignment with standards promotes the development of specialized roles such as ADAS systems engineer, HMI validation specialist, functional safety analyst, embedded software developer, and regulatory compliance auditor, strengthening the sector with multidisciplinary profiles focused on mobility
The laboratory’s capabilities include interoperability testing of LiDAR, radar, and camera sensors; real-time monitoring with advanced data acquisition; and failure analysis in simulated environments, ensuring traceability in accordance with ISO 26262 and applicable international standards for functional safety in autonomous vehicles. Alignment with standards promotes the development of specialized roles such as ADAS systems engineer, HMI validation specialist, functional safety analyst, embedded software developer, and regulatory compliance auditor, strengthening the sector with multidisciplinary profiles focused on automated mobility.
Target keywords (natural in the text): handover, trust, explainability, supervised driving, HMI, ADS, SIL, HIL, ISO 26262, sensory integration, functional safety.
HMI Engineering for Autonomous Vehicles (Levels 2–4) — handover, trust, explainability, and supervised driving.
- Format: Online
- Duration: 19 months
- Time: 1900 H
- Practices: Consult
- Language: ES / EN
- Credits: 60 ECTS
- Registration date: 04-07-2026
- Start date: 28-08-2026
- Available places: 6
392.000 $
Skills and results
What you will learn
1. HMI in Autonomous Vehicles (Levels 2–4): Handover, Trust, Explainability, and Supervised Driving
To whom is our:
HMI Engineering for Autonomous Vehicles (Levels 2–4) — handover, trust, explainability, and supervised driving.
9.9 Handover: Concepts and Protocols in Human-Machine Interaction
9.9 Interface Design to Facilitate Control Transfer
9.3 Levels of Trust in Autonomous Driving Systems
9.4 Factors Influencing User Trust
9.5 Strategies for Improving Trust in the HMI
9.6 Explainability: Communication of System Decisions
9.7 Supervised Driving: The Driver’s Role in the Process
9.8 Evaluation and Validation of HMI Systems
9.9 Practical Examples and Case Studies
9.90 The Future of HMI: Trends and Challenges
Capstone-type projects
Admissions, fees and scholarships
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