Remote Driving Assistance Using a Forward Virtual Viewpoint
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Solution Overview
Problem
Existing vehicle remote assistance systems suffer from a time lag between operator remote assistance and the driver's response to changes in traveling circumstances, as the operator steers the vehicle from a remote location based on displayed surroundings, leading to delayed driver reactions.
Innovation Solution
An information processing device and method that acquires surrounding information, sets a virtual viewpoint ahead of the vehicle, generates virtual surrounding information, and transmits it to an external device for output, receiving driving operation information to generate driving assistance, enabling the driver to follow remote guidance without delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple applications are operated simultaneously in a smartphone, then functionality and user convenience are improved, but memory resources are depleted and applications may terminate abnormally
Solution Approach 1:
The system continuously monitors memory resource usage and application states, and dynamically adjusts resource allocation based on real-time feedback. When memory pressure is detected, the system identifies candidate applications for suspension and executes suspension operations to maintain system stability while preserving user experience.
Solution Approach 2:
The application suspension determination is not static but dynamically adjusted based on current system conditions. The system evaluates multiple factors including user interaction patterns, application priority, and resource usage to determine which applications to suspend, allowing flexible adaptation to different usage scenarios.
2Quantity of substance
If application suspension determination is based on user interaction frequency, then memory resource management is improved, but processing time and power consumption increase due to comprehensive log analysis
Solution Approach 1:
User interaction information is recorded and stored in advance in interaction logs during normal operation. When suspension determination is needed, the system queries these pre-collected logs rather than analyzing interactions in real-time, significantly reducing processing time while maintaining accurate user behavior-based decision making.
3Measurement precision
If comprehensive user interaction logs are analyzed to determine suspension candidates, then application termination accuracy is improved, but processing complexity and power consumption increase
Solution Approach 1:
The system extracts only the necessary interaction information from comprehensive logs that is relevant to suspension determination, such as interaction frequency and recency. By selectively extracting key metrics rather than analyzing entire log contents, the system maintains high identification accuracy while reducing processing complexity and power consumption.
Data Source
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AI summary
The present invention acquires surrounding information of surrounding environment of a vehicle; sets a virtual viewpoint position ahead of the vehicle in a traveling direction; uses the acquired surrounding information and generates virtual surrounding information indicating the surrounding environment at the set virtual viewpoint position; transmits a first control signal for controlling an external device located at a location away from the vehicle to display the generated virtual surrounding information; receives driving operation information on a driving operation of the vehicle output from the external device; generates driving assistance information for assisting driving of the vehicle based on the received driving operation information; and generates a second control signal for controlling an output device installed in the vehicle to output the driving assistance information.