Vehicle Display Apparatus with Dynamic Appearance Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle display systems fail to accurately update vehicle surrounding images in real-time as the vehicle's appearance changes, such as with moving parts or external objects, which can lead to inaccurate self-driving and parking functions.
Innovation Solution
A vehicle display apparatus that includes a sensor unit to detect appearance changes, a processor to generate updated vehicle surrounding images, and a display unit to show these changes, incorporating camera views from various directions and auxiliary cameras to ensure accurate representation of the vehicle's environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If default virtual vehicle images are used, then device complexity is reduced, but measurement precision deteriorates because the images cannot reflect real-time appearance changes
Solution Approach 1:
The system dynamically updates the virtual vehicle image to match the actual vehicle appearance in real-time. When appearance changes are detected by the sensor unit, the processor modifies the stored virtual vehicle image accordingly, ensuring the display always reflects the current vehicle state without requiring multiple pre-stored images for every possible configuration.
Solution Approach 2:
The sensor unit continuously monitors the vehicle's appearance state and provides feedback to the processor. This feedback mechanism enables the system to detect changes and automatically update the virtual vehicle image, creating a closed-loop system that maintains accuracy without increasing overall system complexity.
2Measurement precision
If real-time appearance change detection is implemented, then measurement precision is improved, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The sensor unit is designed to perform multiple functions: it detects both the vehicle's appearance changes and the surrounding environment. This multi-functionality reduces the need for separate dedicated sensors, thereby limiting the increase in device complexity while maintaining high measurement precision for appearance detection.
Solution Approach 2:
The processor pre-stores virtual vehicle images for various appearance configurations. When a change is detected, it simply selects and displays the appropriate pre-prepared image rather than generating a new one in real-time, reducing the computational burden and processing complexity.
3Measurement precision
If auxiliary cameras are added to capture blocked areas, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The processor acts as an intermediary that generates virtual images of blocked areas based on sensor data and vehicle model information. Instead of physically installing cameras in all possible positions, the system uses computational methods to fill in blind spots, reducing hardware complexity while maintaining comprehensive coverage.
Solution Approach 2:
The system creates virtual copies of the vehicle and its surroundings through image processing and rendering. These virtual images represent blocked or hard-to-reach areas that physical cameras cannot capture, providing comprehensive coverage without the need for additional physical sensors in difficult-to-access locations.
4Reliability
If vehicle boundary range is expanded to account for appearance changes, then reliability is improved for self-driving functions, but productivity decreases due to longer processing time
Solution Approach 1:
The system pre-calculates and stores virtual vehicle images for various appearance configurations and boundary ranges. When self-driving operations are performed, it quickly retrieves the appropriate pre-computed images and data, avoiding time-consuming real-time calculations while ensuring reliable operation with updated vehicle boundaries.
Solution Approach 2:
The vehicle boundary range is dynamically adjusted based on the detected appearance changes. The processor modifies the boundary parameters in real-time to match the current vehicle configuration, ensuring accurate collision detection and path planning for self-driving functions without requiring complete reprocessing of all navigation data.
Data Source
AI summary
A vehicle display apparatus that includes: a sensor unit that is configured to obtain a vehicle surrounding image and sense an appearance change of a vehicle; a display unit that is configured to display the vehicle surrounding image that includes a vehicle image showing at least a portion of a vehicle appearance; and a processor that is configured to: obtain, from the sensor unit, information on the appearance change of the vehicle, based on the information on the appearance change of the vehicle, generate the vehicle surrounding image to show the appearance change of the vehicle, and control the display unit to display the vehicle surrounding image is disclosed.