VR Alerts for Autonomous Vehicle Driver Readiness
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Solution Overview
Problem
Autonomous vehicles may face challenges when navigating through complex or hazardous areas while their human drivers are engaged with virtual reality (VR) content, and users seeking to assess road conditions or event information face difficulties in obtaining real-time and accurate data.
Innovation Solution
The development of a VR environment that provides alerts to drivers of autonomous vehicles for challenging areas, generates real-time road condition feeds, and offers virtual reality experiences of events such as accidents or natural disasters, using sensors and cameras to gather and display data on VR headsets or smart windshields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the driver of an autonomous vehicle watches a VR movie while the vehicle drives autonomously, then the driver can enjoy entertainment content, but the driver cannot take control of the vehicle when approaching challenging areas
Solution Approach 1:
The system performs preliminary actions by detecting challenging areas ahead of time and providing advance warning to the driver before the vehicle reaches those areas. This allows the driver to mentally prepare and transition from VR entertainment to active driving control in advance, resolving the contradiction between enjoying entertainment and being ready to take control.
Solution Approach 2:
The system implements feedback by continuously monitoring the vehicle's location and comparing it with known challenging areas, then providing real-time alerts to the driver. This feedback loop ensures the driver is informed about upcoming situations requiring manual control, maintaining reliability while allowing VR entertainment during autonomous driving segments.
2Loss of information
If a person wants to know road conditions before taking a trip, then they can make informed travel decisions, but it is difficult and cumbersome to obtain this information
Solution Approach 1:
The system creates a virtual copy of the physical road environment by generating a VR feed that replicates real-time road conditions, weather, and traffic. Users can view this virtual representation from the comfort of their homes, eliminating the need to physically visit or manually research road conditions, thus making information highly accessible with minimal effort.
Solution Approach 2:
The system introduces an intermediary VR feed that mediates between the user and the actual road conditions. Instead of users directly experiencing or researching physical road conditions, the VR feed serves as an intermediary representation that conveys all necessary information about road state, weather, and hazards in an immersive and easily consumable format.
3Loss of information
If a person wants to know if an event has occurred in a geographic area, then they can assess trip safety, but it is difficult and cumbersome to learn about and obtain event information
Solution Approach 1:
The system creates a virtual copy of the geographic area where events occur, capturing and transmitting visual and contextual information about accidents, weather events, or other incidents. Users can view this virtual representation to assess trip safety without needing to manually search for or visit the location, making event information highly accessible with minimal effort.
4Measurement precision
If sensors and cameras gather real-time data from accident scenes, then accurate event information can be provided, but the system complexity increases
Solution Approach 1:
The system implements multi-functionality by using sensors and cameras that serve multiple purposes: they monitor road conditions for autonomous navigation, detect events for safety alerts, and capture data for VR feed generation. This universal approach allows accurate event scene data collection without proportionally increasing system complexity, as the same hardware infrastructure supports multiple functions simultaneously.
Data Source
AI summary
The following relates generally to providing virtual reality (VR) alerts to a driver of an autonomous vehicle. For example, a vehicle may be driving autonomously while the driver is watching a VR movie (e.g., on a pair of VR goggles); the driver may then receive a VR alert recommending that the driver take control of the vehicle (e.g., switch the vehicle from autonomous to manual mode). The following also relates to generating a VR feed for presenting real-time road conditions so that a user may preview a road segment. The following also relates to generating a VR feed corresponding to an event (e.g., a vehicle collision, a crime, a weather event, and/or a natural disaster).