AR Head-Up Display for Contextual Driving Rule Awareness
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Solution Overview
Problem
Current augmented reality head-up displays for vehicles do not effectively provide information about driving rules and regulations, such as traffic signs and pavement markings, in a manner that is contextually relevant and easily understandable for occupants, particularly those with disabilities like color-vision impairment.
Innovation Solution
A system comprising vehicle sensors, a controller, and an augmented reality head-up display that captures images of the environment, identifies driving rules, and displays relevant graphics on the windshield based on the occupant's position and characteristics, using a combination of camera, GPS, and communication systems to determine applicability states and restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If augmented reality head-up display shows all detected traffic signs and pavement markings, then information completeness is improved, but information overload and reduced clarity occurs
Solution Approach 1:
The system extracts only the relevant driving rules from the complete set of detected traffic signs and pavement markings. The controller determines applicability states by comparing current vehicle conditions, location, and time against the detected rules, displaying only those rules that are currently applicable to the occupant rather than all detected signs and markings.
Solution Approach 2:
The display adapts its content based on the specific needs and characteristics of the occupant. The system provides different information presentations for different occupants (e.g., enhanced information for occupants with disabilities), making the information quality locally optimized rather than uniformly applied to all occupants.
2Adaptability or versatility
If the system provides detailed driving rule information to all occupants, then accessibility for disabled occupants is improved, but system complexity increases
Solution Approach 1:
The system automatically detects occupant characteristics and autonomously determines the appropriate information presentation without requiring manual configuration or input from the occupant. The controller monitors vehicle conditions, sensor data, and occupant features to self-adjust the information display based on detected needs.
3Loss of information
If the system monitors multiple vehicle conditions and environmental factors to determine rule applicability, then contextual relevance is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary detection and categorization of traffic signs and pavement markings as they appear in the environment. The controller pre-processes this information to identify potential driving rules before the vehicle actually reaches their applicability zones, allowing for faster real-time decision-making when the vehicle approaches or enters these zones.
Data Source
AI summary
A system for providing information to an occupant of a vehicle includes at least one vehicle sensor for determining information about an environment surrounding the vehicle, a display for providing information to the occupant, and a controller in electrical communication with the at least one vehicle sensor and the display. The controller is programmed to identify at least one driving rule associated with at least one portion of the environment surrounding the vehicle using the at least one vehicle sensor, determine an applicability state of the at least one driving rule, where the applicability state includes an applicable state and a non-applicable state, and display a graphic using the display in response to determining that the applicability state of the at least one driving rule is the applicable state.