AR Head-Up Display Gateway for Autonomous Vehicle Yielding Status
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Solution Overview
Problem
Existing systems fail to effectively communicate to drivers whether an autonomous vehicle plans to yield to obstacles, leading to driver mistrust and unsafe driving practices when overriding autonomous control.
Innovation Solution
An augmented reality head-up display (ARHUD) system that projects digital gateways indicating whether the vehicle plans to yield to obstacles, changing states based on sensor data and occupant gaze direction, enhancing situational awareness and trust in autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an autonomous vehicle system operates without communicating yielding status to the driver, then the system can maintain simpler control logic, but driver mistrust increases and unsafe overriding practices occur
Solution Approach 1:
The patent introduces a digital gateway visual indicator as an intermediary communication channel between the autonomous vehicle system and the driver. This visual feedback mechanism mediates the relationship by clearly displaying the vehicle's yielding status, thereby building driver trust without requiring complex system modifications. The gateway serves as a mediator that translates autonomous system decisions into understandable visual cues for the driver.
Solution Approach 2:
The system implements a feedback loop by continuously monitoring autonomous vehicle operations and providing real-time visual feedback through the digital gateway indicator. This feedback mechanism allows the driver to understand the system's intended actions, reducing mistrust and preventing unsafe overriding. The feedback principle is applied by creating a closed-loop communication system where the driver receives continuous information about system status and can make informed decisions.
2Reliability
If the vehicle yields to all detected objects, then collision avoidance improves, but traffic flow efficiency decreases
Solution Approach 1:
The patent applies local quality by making the yielding behavior selective rather than universal. The digital gateway indicator displays different states (open/closed) based on the specific characteristics of each detected object and situation. The system evaluates local conditions such as object type, trajectory, and environmental context to determine whether yielding is appropriate, thereby maintaining collision avoidance while preserving traffic flow efficiency through context-aware decision-making.
Solution Approach 2:
The system dynamically changes the yielding parameter based on real-time detection of object characteristics and environmental conditions. By adjusting the yielding status parameter (represented by the digital gateway state) according to specific situation parameters, the system achieves optimal balance between safety and efficiency. This parameter-based control allows flexible adaptation to different traffic scenarios without rigid adherence to a single yielding policy.
3Loss of information
If the ARHUD displays detailed information about obstacles and paths, then driver situational awareness improves, but visual clutter increases
Solution Approach 1:
The patent segments the information display into distinct functional components: the digital gateway indicator for yielding status, obstacle highlights for detected objects, and path representation for intended trajectory. This segmentation allows each element to convey specific information clearly without overwhelming the driver with undifferentiated visual data. The segmented display reduces cognitive load while maintaining comprehensive situational awareness.
Solution Approach 2:
The system utilizes the spatial dimension of the windshield display area to organize information hierarchically. Critical information such as the digital gateway indicator is positioned in prominent locations, while supplementary information like obstacle details and path markers are distributed across the display field. This dimensional organization allows multiple information elements to coexist without creating visual clutter, as each element occupies its own spatial niche in the augmented reality space.
Data Source
AI summary
An assistance system includes: an augmented reality module configured to i) determine a path of a host vehicle, ii) detect one or more objects with one or more trajectories predicted to interfere with the path of the host vehicle, and iii) based on the one or more trajectories, generate a first digital gateway indicative that the host vehicle should yield for the one or more objects; a display control module configured to control an augmented reality head-up display to display the first digital gateway in a closed state over an environment forward of the host vehicle and along the path of the host vehicle; and a vehicle control module configured to yield to the one or more objects as the host vehicle approaches the first digital gateway.