Remote Vehicle Action Verification for Unmanned Driving Control
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Solution Overview
Problem
Existing unmanned driving systems lack effective methods to determine and address situations where a moving object fails to perform intended actions, leading to potential abnormalities or errors in remote control operations.
Innovation Solution
A control device and method that include a determination unit to identify actions for moving objects, a control unit to execute corrective actions such as notifying abnormalities or stopping the object, and a judgement unit to assess whether the object has performed the intended action, with additional features like identification of the object and process information acquisition to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a command is transmitted to move vehicle wipers by remote control, then the vehicle can be remotely controlled, but it cannot be fully determined whether the vehicle has performed the intended action
Solution Approach 1:
The system transmits a confirmation request to the vehicle and receives confirmation information indicating whether the vehicle has performed the intended action. This feedback mechanism allows the remote control system to verify action execution, resolving the contradiction between automation and verification accuracy.
Solution Approach 2:
A confirmation information transmission unit acts as an intermediary between the remote control system and the vehicle. This intermediary component facilitates the exchange of confirmation data, enabling accurate verification of vehicle actions without compromising remote control automation.
2Reliability
If the vehicle has not operated in response to the command, then abnormality detection is needed, but existing systems lack comprehensive coping mechanisms
Solution Approach 1:
The system performs preliminary determination of whether the vehicle has executed the intended action before taking corrective measures. This preliminary check enables reliable abnormality detection while maintaining systematic control structure through organized decision-making steps.
Solution Approach 2:
The control system is divided into distinct functional units: a determination unit that assesses action execution and a control unit that implements corrective measures. This segmentation improves reliability through specialized functions while managing complexity through modular architecture.
3Adaptability or versatility
If multiple moving objects are present, then identification of the specific controlled object is needed, but accuracy decreases without additional verification
Solution Approach 1:
When multiple moving objects are present, the system transmits confirmation requests to identify which specific object has executed the intended action. The feedback from confirmation information enables accurate identification of the controlled object while maintaining the ability to control multiple objects simultaneously.
Data Source
AI summary
A control device includes: a determination unit for determining an action to be performed by a moving object, wherein the moving object is operable by unmanned driving; a control unit for causing a controlled moving object to perform the action while the controlled moving object is moving; an action information acquisition unit for acquiring an action information, wherein the action information is an information regarding the action that is observed from the outside a moving object; and a judgement unit for judging whether or not the controlled moving object has performed the action using the action information, wherein when the judgement unit judges that the controlled moving object has not performed the action, the control unit executes at least one of a process of notifying occurrence of abnormality, a process of stopping the controlled moving object, and a process of changing a speed of the controlled moving object.


