XRive: Get to know the #OC2

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Proposal Acronym: XRive

Proposal Title: Immersive XR Training Applications for Human-Centric Safety and Innovation in the Automotive Industry

Proposal Summary:

XRive is a project focused on improving road safety and enhancing the driving experience through eXtended Reality (XR) technologies. It addresses the challenges posed by increasing road traffic and the transition to Connected Autonomous Vehicles (CAVs) by developing XR-based tools to train and familiarize drivers with advanced in-car systems.

Key Objectives:

  • Driver Training & Familiarization: XR applications will help drivers test, train, and become comfortable with advanced Human-Machine Interfaces (HMIs) and Advanced Driver Assistance Systems (ADAS).
  • Human-Centered Design: User feedback will guide the automotive industry in redesigning XR-based interfaces to better meet real-world needs.
  • Enhanced Situational Awareness: The project uses advanced technologies—explainable AI, cross-view localization, and cooperative perception—to deliver real-time visual and textual information about potential hazards, including hidden or occluded objects like other vehicles and road obstacles.

How It Works:

  • XR Training Tools: Simulate real-life driving scenarios to prepare users for advanced vehicle technologies.
  • Data Integration: Combine sensor data from vehicles and surrounding environments to improve collective situational awareness.
  • Feedback Loop: User input from training programs helps automakers refine and optimize XR-based driving systems.

By improving how drivers perceive and react to potential hazards, XRive promotes safer, smarter driving while supporting the automotive industry in delivering trustworthy and user-centered XR solutions.

Applicants:

  • ENEBULA BV
  • AviSense.AI technovlastos P.C.
  • InterMediaKT – Interactive Media Knowledge Transfer

Countries: The Netherlands and Greece

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Problem to Solve ​:

High Accident Rates & Safety Gaps ​
Human errors and sensor blind spots continue to cause collisions and limit the effectiveness of current ADAS solutions.​
Slow Adoption & Low Trust of New Technologies ​
Drivers remain skeptical of advanced, semi- or fully autonomous systems—and are unprepared to use AR-based interfaces—hindering wide-scale deployment.​
Fragmented Industry Feedback Loop ​
Automotive design processes lack real-time, user-centered input, slowing iterations and misaligning systems with real-world driver needs.

Suggested Solution ​:

  • Immersive eXtended Reality scenarios that let drivers safely test and train on advanced HMIs and ADAS features before encountering them in real life.​
  • Visual overlays that highlight upcoming hazards “behind” objects.​
  • Continuous collection of driver reactions and performance metrics during XR sessions to iteratively refine interfaces and AI models in the design cycle.​
  • Systematic incorporation of real user feedback into automotive HMI/UX design, ensuring XR solutions are intuitive, trustworthy, and aligned with driver needs.

XRive Vision:

  • Create adaptive and scalable XR applications that train drivers to effectively use XR-based HMIs and ADAS . ​
  • Foster a human-in-the-loop design process where the end-user feedback drives continuous improvement in automotive systems . ​
  • Bridge the gap between innovative automotive technology and end-user trust, usability, and safety.

XRive in a nutshell:

  • Goal: Develop XR applications to train and familiarize drivers with new in-vehicle technologies.​
  • Approach: Use driver feedback to redesign HMIs and XR-based ADAS through a human-in-the-loop process.​
  • Focus: Enhance driver safety, performance, and education through XR tools and real-life scenario training.​
  • Impact: Help automakers create user-centered solutions and improve trust and effectiveness of XR systems.​
  • Key Innovation: Highlight critical, hidden, or dynamic road hazards to boost driver situational awareness in CAVs.
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Excellent summary @Gerasimos We are really excited to participate in this project as well!

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Amazing! thanks you Gerasimos! :star_struck:

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Looking forward to seeing how XRive translates driver feedback into safer, more intuitive systems. :red_car::bulb:

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A few years ago I worked on a similar project dealing with XR and vehicle HMI and ADAS for a car manufacturer. Looking forward to see the project results !

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  1. What is the primary goal of the XRive project regarding driver safety, trust, and performance?

The primary goal of XRive is to boost driver safety, trust, and performance by developing a comprehensive eXtended Reality (XR) platform that enhances situational awareness, accelerates driver training, and strengthens the human-automated system connection.

  1. What are the main types of feedback XRive gathers from users and how is this feedback used?

XRive gathers passive feedback (like gaze and ergonomics) and active feedback (like questionnaires) from users. This feedback is used by automotive manufacturers to redesign Human-Machine Interfaces (HMIs) and XR-based Advanced Driver Assistance Systems (ADAS).

  1. How does XRive address the problem of high accident rates due to human error and sensor limitations?

XRive addresses high accident rates by enhancing driver situational awareness through immersive visualization and providing proactive warnings about critical or occluded elements that drivers might otherwise miss.

  1. What are two reasons for the slow adoption and low trust in emerging XR technologies in the automotive sector?

Two reasons for slow adoption and low trust are a lack of familiarity with XR-based systems among drivers due to insufficient training and user hesitation to rely on these systems without firsthand experience or clear understanding.

  1. How does XRive aim to improve the automotive industry’s feedback loop for designing HMIs and ADAS?

XRive establishes a user-centered feedback loop that provides OEMs with direct, structured input from real-world users, allowing for faster iteration cycles and better alignment of design goals with validated needs.

  1. What are two specific needs of new drivers that XRive targets?

Two specific needs of new drivers that XRive targets are tailored training and immersive learning through interactive modules, and accelerated skill development by practicing with immersive XR feedback in simulated scenarios.

  1. How do Automotive Manufacturers (OEMs) benefit from participating in XRive?

Automotive Manufacturers (OEMs) benefit from XRive by receiving real-world user feedback that drives human-centered innovation, allowing them to develop more intuitive, inclusive, and safer HMI/ADAS systems based on validated user needs.

  1. Describe one way XRive contributes to road safety efforts by Road Safety Authorities.

Road Safety Authorities can use XRive as a tool for public awareness and education, utilizing its training modules to support campaigns on the safe and responsible use of semi-autonomous technologies and using data from XRive for evidence-based policy making.

  1. What are Connected and Autonomous Vehicles (CAVs) and how does XRive relate to them?

Connected and Autonomous Vehicles (CAVs) are the cornerstone of future smart mobility, expected to operate safely in real-life conditions, often relying on advanced perception systems. XRive develops XR applications to help drivers test, train, and familiarize themselves with the new technologies in CAVs.

  1. Explain how XRive uses Augmented Reality (AR) visualization to alert drivers about potentially dangerous objects.

XRive uses AR visualization by having vehicles capture and process information about potentially dangerous objects (static like potholes, dynamic like VRUs), transmitting their location and nature to nearby vehicles. The receiving vehicle’s AR interface then displays this information non-distractingly, providing early warnings even for occluded hazards.