Priority Image Display for Multi-Vehicle Autonomous Parking Oversight
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Solution Overview
Problem
In crowded parking lots with a mix of autonomous and manual driving vehicles, existing systems require multiple managers to assist autonomous driving vehicles, leading to insufficient assistance and a higher risk of accidents.
Innovation Solution
An information processing device that acquires and prioritizes image data from various locations within a facility, allowing a single manager to effectively monitor and control multiple autonomous driving vehicles by setting display modes and transmitting control instructions based on priority analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If one manager assists one autonomous driving vehicle, then the vehicle can receive adequate monitoring and control, but when the number of vehicles increases, the assistance becomes insufficient and accident risk increases
Solution Approach 1:
The monitoring system divides the facility into multiple areas, each monitored by dedicated image data acquisition devices. The manager's view is segmented into multiple image data streams showing different areas simultaneously, allowing one manager to oversee multiple vehicles across different locations without being overwhelmed by a single complex view.
Solution Approach 2:
The system transitions from a single-point monitoring approach to a multi-dimensional overview by displaying multiple image data streams from different areas and angles simultaneously. This dimensional expansion of the monitoring perspective allows one manager to effectively track multiple vehicles that would otherwise require multiple managers.
2Reliability
If multiple managers are deployed to assist multiple autonomous driving vehicles, then adequate monitoring coverage is achieved, but the system complexity and operational cost increase
Solution Approach 1:
The system merges multiple image data acquisition devices and their respective monitoring areas into a single integrated display system. Multiple cameras from different locations capture images simultaneously, and these image data streams are combined and presented to one manager, consolidating what would otherwise require multiple separate monitoring stations and managers.
Solution Approach 2:
The image data display device serves multiple functions simultaneously: it monitors multiple vehicles, covers multiple areas, provides real-time visual feedback, and enables control instructions to be transmitted to multiple vehicles. This multi-functionality allows one manager to perform the roles of multiple specialized monitors.
3Loss of information
If all image data from all areas is displayed simultaneously, then complete monitoring information is provided, but the display becomes overwhelming and difficult to interpret
Solution Approach 1:
The display system segments the overall view into multiple distinct image data streams, each representing a specific area or angle. Rather than presenting a single cluttered composite view, each area is segmented into its own manageable image panel, making it easier for the manager to process information from different locations independently.
Solution Approach 2:
The display system dynamically adjusts which image data is shown based on detected events or priorities. When a vehicle requires attention or an unusual situation occurs in a particular area, the system can dynamically emphasize or expand that particular image data stream, adapting the display to current operational needs rather than presenting a static, uniform view of all areas.
Data Source
AI summary
A first image-data acquisition unit (101) acquires a plurality of pieces of image data in which different areas in a facility in which an autonomous driving vehicle conducts autonomous traveling are shown. A priority setting unit (102) analyzes a status shown in each of the plurality of pieces of image data and sets a priority to each image data. A first image-data display unit (103) decides a display mode at a time of displaying the plurality of pieces of image data according to the priority set by the priority setting unit (102).