Vehicle Rendering Accuracy via Short-Range Sensing Fusion
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Solution Overview
Problem
Current vehicle display systems often present inaccurate renderings of vehicles by overlaying a predefined vehicle image onto a stitched surrounding area, failing to reflect actual vehicle modifications or objects coupled to the vehicle, which can confuse operators and affect safe navigation.
Innovation Solution
The system uses short-range communication to collect data from nearby sensing devices, employing image recognition to generate accurate bird's-eye, side, or isometric views of the vehicle and coupled objects, updating the display in real-time to reflect the vehicle's actual configuration and surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a predefined vehicle rendering is overlaid onto a stitched surrounding area, then the display provides a complete view of the vehicle and surroundings, but the rendering becomes inaccurate when the vehicle configuration changes or objects are coupled to the vehicle
Solution Approach 1:
The system transitions from a static predefined vehicle rendering to a dynamic rendering that automatically updates based on real-time data from sensing devices. The controller continuously receives sensing data, detects changes in vehicle configuration or coupled objects, and modifies the rendering accordingly, ensuring the display always reflects the actual current state of the vehicle.
Solution Approach 2:
The system implements a feedback loop where the controller receives sensing data from multiple sensing devices, compares it with the current rendering, detects discrepancies indicating configuration changes or coupled objects, and automatically updates the rendering to match the actual vehicle state, creating a closed-loop system that maintains rendering accuracy.
2Measurement precision
If multiple sensing devices are used to detect vehicle configuration and coupled objects, then the detection accuracy improves, but the system complexity increases
Solution Approach 1:
The system combines data from multiple sensing devices (cameras, LIDAR, radar, ultrasonic sensors) into a unified rendering process. The controller integrates sensing data from all devices, processes them collectively to detect vehicle configuration and coupled objects, and generates a single comprehensive rendering, thereby managing complexity through data fusion rather than separate processing for each device.
Solution Approach 2:
The controller performs multiple functions using the same sensing data: it detects vehicle configuration changes, identifies coupled objects, determines their locations, and generates updated renderings. This multi-functional approach reduces the need for separate specialized systems for each detection task, managing complexity through versatile data utilization.
Data Source
AI summary
Method and apparatus are disclosed for vehicle-rendering generation for vehicle display based on short-range communication. An example vehicle includes a communication module configured to wirelessly communicate with remote sensing devices, a display configured to present a vehicle rendering of the vehicle, and a controller. The controller is configured to, in response to detecting an activation event, collect sensing data via the communication module. The controller also is configured to determine whether an object is coupled to the vehicle based on the sensing data and, in response to detecting an object coupled to the vehicle, modify the vehicle rendering to include an object rendering of the object.