Vehicle Drone Imaging for Real-Time Destination Congestion Control
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Solution Overview
Problem
Conventional navigation systems fail to provide real-time congestion information at destinations, leading to inefficient use of facilities due to lack of communication setup or outdated information.
Innovation Solution
An information processing device and method utilizing an unmanned flying object to capture images of destinations, determining congestion situations, and adjusting vehicle movement routes and speeds based on these images, while also guiding to empty parking spaces and searching for optimal routes within facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If advance confirmation is performed by automatically calling a facility of destination, then necessary information can be acquired before arriving, but communication setup may fail or information may be outdated resulting in inability to reflect real-time congestion state
Solution Approach 1:
The patent replaces the mechanical communication system (phone calls) with an optical imaging system (unmanned flying object capturing images). The control unit causes the unmanned flying object to move to the destination and capture images, then determines congestion situations based on image analysis, eliminating dependency on communication setup while achieving real-time information acquisition
Solution Approach 2:
The patent introduces an intermediary (unmanned flying object with imaging capability) between the vehicle and the destination facility. This intermediary captures visual information and transmits it to the control unit, which processes the images to determine congestion status, providing reliable real-time information without direct communication with the facility
2Loss of information
If navigation system displays route information, then user is provided with directional guidance, but real-time congestion information at destination is not provided leading to inefficient facility use
Solution Approach 1:
The control unit causes the unmanned flying object to move to the destination and capture images before the vehicle arrives. This preliminary action of gathering visual information allows the system to determine congestion situations in advance and adjust the vehicle's movement route or speed accordingly, optimizing facility usage efficiency
Solution Approach 2:
The system establishes a feedback loop where the control unit continuously monitors congestion situations based on images captured by the unmanned flying object, then adjusts the vehicle's movement control in response. This real-time feedback mechanism enables dynamic route optimization based on actual destination conditions
Data Source
AI summary
An information processing device is provided, for example, in a vehicle. A control unit of the information processing device executes flight control of an unmanned flying object such that the unmanned flying object moves to a destination and acquires a captured image from the unmanned flying object. The control unit performs adjustment of an arrival time at the destination, for example, depending on a congestion situation or movement guidance of the vehicle to an empty space at the destination on the basis of the captured image of the destination or a surrounding area of the destination. Further, retrieval of a movement route in the destination is performed on the basis of the captured image obtained by causing the unmanned flying object to move inside the destination and imaging the inside of the destination, and the detected movement route is set in a moving object which is used for movement in the destination.