Vehicle Surroundings Map Texturing for Real-Time Parking Accuracy
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Solution Overview
Problem
Existing methods for creating surroundings maps in transportation vehicles often fail to achieve a desired level of realism and accuracy, particularly during parking operations, due to limitations in image quality and up-to-dateness of the information used.
Innovation Solution
A method and arrangement that texture surroundings maps with image information from camera devices, prioritizing high-resolution and up-to-date image data, using multiple camera devices to capture 360° views and update the map continuously, with criteria-based selection for optimal image information usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple camera devices are used to capture 360° views and continuously update the surroundings map, then the realism and accuracy of the surroundings map are improved, but the device complexity and computational requirements increase
Solution Approach 1:
The surroundings are divided into multiple regions captured by different camera devices, with each camera responsible for a specific field of view. The system segments the 360° environment into manageable portions that can be processed and merged individually, reducing the computational burden while maintaining comprehensive coverage
Solution Approach 2:
Multiple partial images from different camera devices are merged into a single composite surroundings map. The image merging unit combines these segmented views into a unified representation, achieving comprehensive 360° coverage without requiring each individual camera to capture the entire environment
2Measurement precision
If high-resolution image information is selected for texturing the surroundings map, then the realism and quality of the map are improved, but the data processing time and computational resources increase
Solution Approach 1:
Different regions of the surroundings map are textured with image information of appropriate resolution based on local requirements. Areas requiring higher detail (such as regions near the vehicle or important objects) receive high-resolution imagery, while distant or less critical areas use lower-resolution images, optimizing the balance between quality and processing efficiency
Solution Approach 2:
The system dynamically adjusts the resolution parameter of image information based on the specific requirements of different map regions and processing conditions. By changing the resolution parameter adaptively rather than uniformly applying high resolution everywhere, the system reduces overall processing time while maintaining necessary image quality
3Reliability
If up-to-date image information is prioritized for texturing, then the current accuracy of the surroundings map is improved, but the system complexity for managing multiple image versions increases
Solution Approach 1:
The system continuously monitors and compares image information from multiple sources, using feedback mechanisms to identify and select the most current and accurate images for each region. This feedback loop ensures that the surroundings map remains updated with the latest visual information without requiring complex manual management of multiple image versions
Solution Approach 2:
The system pre-processes and stores image information from multiple camera devices in an organized manner before the actual map generation occurs. By preparing and indexing image data in advance with metadata about their capture time and quality, the system can quickly retrieve and select the most appropriate images during map generation, reducing real-time complexity
Data Source
AI summary
A method for producing a surroundings map of a transportation vehicle textured with image information, including detecting at least first and second image information from vehicle surroundings using at least one transportation vehicle-mounted camera device; producing a surroundings map of the transportation vehicle; determining at least one area of the surroundings map in which both the first and second sets of image information are present; and selecting either the first or the second set of image information for texturing the area of the surroundings map according to at least one of the following criteria: selecting the image information with the highest resolution and selecting the latest image information. Also disclosed is an arrangement for producing a surroundings map of a transportation vehicle textured with image information and a transportation vehicle having the arrangement.