Remote Vehicle Control Using Landmark Detection for Target Verification
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Solution Overview
Problem
Existing systems face errors in determining whether an intended target is being controlled due to similar operations by target and non-target vehicles, leading to potential misidentification.
Innovation Solution
A control device and method that utilizes a detector to identify landmarks outside the moving object, with processing adjusted based on the presence or absence of detected landmarks, including a camera for two-dimensional code detection and projection devices for landmark creation, to accurately determine target control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote control commands are transmitted to move a vehicle, then the vehicle can be controlled from a distance, but errors occur in determining whether the intended target is being controlled when multiple vehicles perform the same operation simultaneously
Solution Approach 1:
The system transmits a detection command to the vehicle and receives a detection result in return. The detection result serves as feedback to confirm whether the intended target vehicle is being controlled. This feedback mechanism resolves the target identification error by verifying the actual state of the controlled vehicle against the expected state.
Solution Approach 2:
A detector (such as a camera) is introduced as an intermediary device to capture images or data from the vehicle. The detector collects information about the vehicle's state (e.g., wiper position, landmark visibility) and transmits it to the remote control device. This intermediary provides objective verification data to confirm target identity without requiring direct observation.
2Reliability
If a detector is used to verify vehicle identity through landmark detection, then target identification accuracy improves, but the system complexity increases due to additional components and processing requirements
Solution Approach 1:
The detector is designed to perform multiple functions: it can detect various landmarks (two-dimensional codes, projection images, natural features), capture different types of data (images, positional information), and work with multiple vehicle types. This multi-functionality reduces the need for specialized detection equipment for each scenario, thereby limiting the increase in system complexity.
Solution Approach 2:
The vehicle itself carries the detector and performs the detection operation autonomously based on received commands. The vehicle's detector captures its own state information (e.g., wiper position, visible landmarks) and reports it back. This self-service approach eliminates the need for external detection equipment, reducing overall system complexity while maintaining high identification accuracy.
3Reliability
If the system waits for detection results before executing control commands, then target identification accuracy improves, but the response time and operational speed decrease
Solution Approach 1:
The detector continuously monitors for landmarks and prepares detection data in advance. When a control command is issued, the system can immediately compare the pre-captured detection result with the expected target state, rather than waiting for new detection data. This preliminary action reduces the time delay between command issuance and verification.
Solution Approach 2:
The system uses simple and quick detection methods such as recognizing two-dimensional codes or projection images that can be processed rapidly. These detection targets are designed to be easily identifiable and quickly verified, allowing the system to skip lengthy analysis processes and achieve fast target confirmation while maintaining high accuracy.
Data Source
AI summary
A control device includes: an acquisition unit configured to acquire a detection result by a detector, wherein the detector is mounted on a moving object movable by unmanned driving; a determination unit configured to determine a landmark to be detected by the detector, wherein the landmark is located outside the moving object; and a control unit configured to move the moving object by unmanned driving, wherein the control unit performs different processing for moving the moving object depending on whether or not the landmark determined by the determination unit is included in the detection result.