Augmented Reality Vehicle Load Indicator
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Solution Overview
Problem
Traditional methods for indicating vehicle loading issues, such as misloading or unbalanced weight distribution, lack intuitiveness and effectiveness, often leading to handling degradation and safety concerns due to the inability to provide clear guidance for load redistribution.
Innovation Solution
The integration of vehicle sensors and augmented reality technology to generate an augmented environment that overlays load data onto live video, providing visual instructions for proper load distribution by correlating object positions and weights, using mobile devices or vehicle-mounted cameras to identify and correct loading imbalances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional methods are used to indicate vehicle loading issues, then the system complexity is low, but the intuitiveness and effectiveness of load guidance is poor
Solution Approach 1:
The patent introduces an augmented reality interface as an intermediary between the vehicle's sensor system and the driver. This AR interface processes weight sensor data and camera feed to generate intuitive visual overlays showing load distribution, axle weights, and corrective guidance arrows, making complex loading information easily understandable without requiring complex traditional displays or controls
Solution Approach 2:
The patent transitions from traditional two-dimensional dashboard displays to three-dimensional augmented reality overlays that are superimposed directly onto the driver's field of view through the mobile device camera. This dimensional enhancement allows load information to be presented in spatial context, showing weight indicators and guidance arrows in their natural spatial relationships to the vehicle and cargo
2Reliability
If augmented reality technology is integrated with vehicle sensors to provide real-time load guidance, then the intuitiveness and effectiveness of load distribution guidance is improved, but the device complexity increases
Solution Approach 1:
The system employs self-service principles by using the mobile device's existing camera, display, and processing capabilities to generate and present the augmented reality interface. Rather than requiring a dedicated complex display system, the patent leverages the driver's personal device to perform the function of presenting load information, reducing the need for additional specialized components in the vehicle
Solution Approach 2:
The patent makes the mobile device serve multiple functions: it acts as the camera for capturing the vehicle interior, the display for showing augmented reality overlays, the processor for analyzing weight sensor data and generating guidance, and the interface for driver interaction. This multi-functionality reduces overall system complexity by eliminating the need for separate dedicated systems for each function
3Loss of information
If traditional loading indication methods are used, then the device complexity is low, but the ability to provide clear guidance for load redistribution is insufficient
Solution Approach 1:
The patent uses color changes in the augmented reality overlay to convey different states of load information. Weight indicators display different colors based on whether axles are within acceptable weight ranges or overloaded, and guidance arrows use color coding to indicate the urgency or type of corrective action needed, allowing drivers to quickly comprehend load status without reading numerical data
Solution Approach 2:
The system implements continuous feedback by monitoring weight sensor data in real-time and dynamically updating the augmented reality display as cargo is moved. The guidance arrows and weight indicators are automatically recalculated and repainted based on current load conditions, providing immediate feedback to the driver about the effectiveness of their loading adjustments and guiding them toward optimal load distribution
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed to generate an augmented environment including a weight indicator for a vehicle. An example disclosed apparatus includes a sensor interface to receive load data associated with a vehicle, and receive live video data from a camera, the live video data including a location of an object in the vehicle, a load mapper to generate a map of loads on the vehicle based on the load data, an object-to-weight correlator to correlate a load of the map of loads with the object, and an augmented reality generator to generate an augmented environment identifying the location of the object and the load correlated with the object.