Unmanned Vehicle Visual Signaling for Multi-Vehicle Control
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Solution Overview
Problem
As the number of unmanned vehicles increases, existing communication mechanisms become complex and affect the accuracy of control between vehicles, leading to increased complexity and potential collisions due to the use of short-range wireless communication and radar systems.
Innovation Solution
The unmanned vehicle system employs a visual information pattern displayed by one vehicle, which is identified by another to convey control information, allowing vehicles to perform tasks and adjust operations without direct communication with a central server, and uses infrared signals for additional data exchange, with only relay vehicles communicating with the server to reduce burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If short-range wireless communication technologies (Wifi, Bluetooth, NFC) and radar sensors are used for communication and collision prevention, then communication between unmanned vehicles can be achieved, but the communication mechanism becomes more complex and radar waves fill the entire field affecting control accuracy as the number of vehicles increases
Solution Approach 1:
The patent replaces wireless communication technologies and radar sensors with visual communication methods. Unmanned vehicles display visual information patterns (such as LED displays or visual markers) that other vehicles can directly observe and decode, eliminating the need for complex wireless communication protocols and radar systems while reducing electromagnetic interference in the field.
Solution Approach 2:
The patent uses visual information patterns as a simplified copy of communication data. Instead of transmitting complex digital signals through wireless channels, the system encodes control information into visual patterns that can be directly observed and interpreted by other vehicles, significantly reducing communication complexity while maintaining reliability.
2Ease of operation
If a central server pre-arranges movement paths for multiple unmanned vehicles, then task assignment can be managed, but the complexity of path planning increases as the number of unmanned vehicles increases
Solution Approach 1:
The patent enables unmanned vehicles to autonomously acquire control information from visual patterns displayed by other vehicles and independently adjust their own movement paths. This distributed decision-making approach eliminates the need for complex centralized path planning, allowing each vehicle to self-manage its navigation while maintaining coordinated operation with the group.
Solution Approach 2:
The patent implements dynamic path adjustment where unmanned vehicles can real-time modify their movement paths based on visual information acquired from the environment and other vehicles. This dynamic adaptation allows the system to handle increasing numbers of vehicles without proportionally increasing path planning complexity, as each vehicle independently responds to current conditions rather than relying on pre-calculated static paths.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies communication and reduces the complexity for the management server, enabling efficient task management and collision avoidance among multiple unmanned vehicles by using visual and infrared communication methods, thereby improving control accuracy and reducing congestion.
Implementation Method 1
The first unmanned vehicle provides an information pattern, in which the information pattern indicates a control information. The second unmanned vehicle acquires the control information by identifying the information pattern.
Implementation Method 2
uses infrared signals for additional data exchange
Data Source
AI summary
Embodiments of the disclosure provide an unmanned vehicle system, including a plurality of unmanned vehicles. The plurality of unmanned vehicles include a first unmanned vehicle and a second unmanned vehicle. The first unmanned vehicle provides an information pattern, wherein the information pattern indicates a control information. The second unmanned vehicle acquires the control information by identifying the information pattern.