Remote Vehicle Support Camera Selection by Relative Position
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Solution Overview
Problem
Existing remote support systems for vehicles do not effectively select the most useful video image from multiple monitoring cameras, impacting the performance of remote support operations.
Innovation Solution
A remote support system that acquires video images from multiple monitoring cameras and selects the most relevant one based on current and future relative relationships with the vehicle, displaying it to the remote operator to enhance remote driving capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video images from multiple monitoring cameras are acquired for remote support, then the availability of video images improves, but the difficulty of selecting the most useful video image increases
Solution Approach 1:
The system changes the parameter of video image selection from static/manual to dynamic/automatic by introducing selection criteria based on relative position, vehicle travel direction, and camera orientation. This transforms the selection process into a parameter-driven decision system that automatically identifies the most useful video image among multiple cameras.
Solution Approach 2:
The system enables self-service by allowing the multi-camera system to automatically select and provide the most useful video image without requiring manual intervention from the remote operator. The selection process is performed autonomously based on predetermined criteria, making the system self-sufficient in optimizing video image selection.
2Device complexity
If manual selection of monitoring camera is used, then the system complexity is reduced, but the remote support performance deteriorates
Solution Approach 1:
The system applies preliminary action by pre-establishing selection criteria and rules for choosing the most useful video image before the remote support operation begins. The system pre-defines parameters such as relative position thresholds, travel direction angles, and camera orientation requirements, enabling automatic selection without complex real-time decision-making during operation.
3Device complexity
If a single monitoring camera is used, then the device complexity is reduced, but the adaptability to different vehicle positions and operations deteriorates
Solution Approach 1:
The system applies dynamics by making the video image selection adaptive and dynamic based on the vehicle's changing position, travel direction, and operational context. Instead of using a fixed single camera, the system dynamically selects from multiple cameras based on real-time parameters, allowing the system to adapt to different vehicle positions and operations automatically.
Data Source
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AI summary
The remote support system includes a display device (53), at least one processor (32), and at least one memory (34) storing a plurality of instructions (36) executable by the at least one processor (32). The plurality of instructions (36) causes the at least one processor (32) to: acquire video images related to operation of a vehicle (20) from a plurality of monitoring cameras (10) installed on or near an operation route of the vehicle (20); select a video image to be displayed on the display device (53) from among the video images acquired by the plurality of monitoring cameras (10) based on information regarding current and future relative relationship between each of the plurality of monitoring cameras (10) and the vehicle (20); and display the selected video image on the display device (53).