Remote Vehicle Support Video Selection Across Multiple Cameras
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Solution Overview
Problem
Existing remote support systems for vehicles lack a method to effectively select and utilize video images from multiple monitoring cameras, impacting the performance of remote operations.
Innovation Solution
A remote support system that acquires and selects video images from multiple monitoring cameras based on their current and future relative relationship with the vehicle, ensuring the most useful images are displayed to the remote operator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video images from multiple monitoring cameras are acquired for remote support, then the availability and coverage of video images are improved, but the difficulty of selecting the most useful video image increases
Solution Approach 1:
The system continuously monitors the relative positions between the vehicle and multiple monitoring cameras, and dynamically selects the most appropriate video image based on real-time feedback about which camera provides the best view of the vehicle's current and future positions. This feedback mechanism automatically resolves the selection difficulty by using positional data to determine optimal video source.
Solution Approach 2:
The system pre-calculates and evaluates the relative relationships between the vehicle and all monitoring cameras before making selection decisions. By preliminarily assessing which cameras will provide useful views based on predicted vehicle movement and camera positions, the system prepares selection criteria in advance, reducing the complexity of real-time selection.
2Adaptability or versatility
If video images from multiple monitoring cameras are acquired for remote support, then the coverage and usefulness of video surveillance are improved, but the complexity of the system increases
Solution Approach 1:
The system divides the video selection task into separate functional components: one component acquires video images from multiple cameras, another component calculates relative positions between the vehicle and cameras, and a third component selects the appropriate video image based on calculated positions. This segmentation reduces overall system complexity by making each component's function clear and manageable.
Solution Approach 2:
The system automatically selects the most appropriate video image from multiple cameras without requiring manual intervention or complex external control systems. By using the vehicle's own position data and the cameras' known positions to autonomously determine which video image is most useful, the system reduces operational complexity while maintaining high coverage.
Data Source
AI summary
The remote support system includes a display device for displaying a video image to a remote operator, at least one processor, and at least one memory storing a plurality of instructions executable by the at least one processor. The plurality of instructions is configured to cause the at least one processor to execute the following processes. The first process is to acquire video images related to operation of a vehicle from a plurality of monitoring cameras installed on or near an operation route of the vehicle. The second process is to select a video image to be displayed on the display device from among the video images acquired by the plurality of monitoring cameras based on information regarding current and future relative relationship between each of the plurality of monitoring cameras and the vehicle. The third process is to display the selected video image on the display device.