Invisible-to-Visible (I2V)

Invisible-to-Visible (I2V) uses a 3D, augmented reality interface that merges the real world and virtual world to make information visible which the driver would not otherwise see. By connecting to the virtual world (called the Metaverse), Invisible-to-Visible creates limitless possibilities for services and communications that will make driving more convenient, comfortable, and exciting. Nissan is continuing with I2V research and development, with an initial forecasting of sometime beyond 2025 for the technology to fully emerge.

• The driver can feel a more confident drive, enhancing driving enjoyment.
  Information collected by sensors inside and outside the vehicle is combined with data from the Omni-Sensing Cloud to provide the driver with enhanced information about the surrounding area, including predictive information ahead of the vehicle. This includes potential hazards hidden behind buildings, and obstacles ahead of a blind corner? all displayed seamlessly to the driver to support a confident driving experience.
• Time spend in the vehicle can be more comfortable and enjoyable.
  By connecting the driver and passengers to the virtual world (the Metaverse), distant family, friends, and others can appear inside the vehicle as a 3D AR avatar. Avatars can join inside the vehicle as a driving companion or helping support driving with advice and suggestions.

Invisible-to-Visible visually communicates rich information collected by the vehicle and Omni-Sensing Cloud, providing endless possibilities for service and communication in real-time.

Information collected by Nissan's Omni-Sensing Cloud technology, real-time traffic analysis by Nissan's Seamless Autonomous Mobility (SAM) technology, logged driving environment data, and other information is provided into the driver's field of view- allowing the driver to see "invisible" information.

• Typical driving scenario: The system displays information such as road environment conditions and potential hidden obstacles or pedestrians.
• Traffic congestion scenario: The system displays upcoming traffic situations, including the cause of them, so the driver can decide the optimal lane or route to take.
• Parking scenario: The system displays where and when the next parking space will become available.
• Mountain driving scenario: The system projects an image of oncoming vehicles or an obstruction that is hidden beyond a curve.
• Autonomous driving scenario: The system can project a scene of clear skies on the vehicle windows during poor weather conditions to improve the driving experience.

People joining through the Metaverse appear as 3D avatars in the real world through MR (Mixed Reality), letting people in both worlds share the experience of space and movement in real-time.

• Companion scenario: A family member or friend from anywhere in the world can join the vehicle as an avatar to accompany on the journey via the Metaverse. The avatar would occupy a seating position to give a sense they are actually in the vehicle.
• Tourism scenario: If traveling to a destination, a local guide can be requested from the Metaverse to join the drive as an avatar to answer questions and give recommendations on places of interest in real-time.
• Service scenario: If needing driving instruction or guidance, a pro driver from the Metaverse could join the drive as an avatar and assist in real-time.
• Service scenario: While on a long drive, services such as business consultation, private advice or self enriching activities such as language lessons can be offered by real people connecting inside the vehicle as a 3D avatar through the Metaverse.

Nissan Omni-Sensing technology: A virtual hub that gathers real-time data from traffic environments and the vehicle's exterior and interior surroundings. Exterior information can include: road status, visibility, signage, and nearby cars and pedestrians. Interior information can include: The driver's level of alertness, facial expressions such as confusion, and body tracking for virtual avatar or Virtual Personal Assistant (VPA) interaction.

Seamless Autonomous Mobility (SAM): Analyzes the road environment through relevant real-time information.
ProPILOT: Identifies the conditions immediately around the vehicle, and interior sensors identify the interior environment.

Digital twin: A digital representation of the physical world including vehicles, buildings and infrastructure is created in real-time through massive amounts of data collected through Omni-Sensing technology. Linked to virtual spaces and the real world, the Digital Twin can be utilized to share information and support augmented and mixed reality interfaces in the real world.