Vehicle-UAV Coordination Using Telemetry-Based Motion Prediction
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Solution Overview
Problem
Conventional methods for coordinating vehicle and drone movements, such as using handheld controllers or Ground Control Stations, are prone to human error and require additional hardware, increasing vehicle weight and complexity.
Innovation Solution
A vehicle integrated unmanned aerial system that uses existing vehicle and drone units to coordinate movements without manual intervention, utilizing vehicle data to predict and control drone movements based on user inputs and vehicle telemetry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If handheld controller with manual intervention is used to control drone movement, then coordination between vehicle and drone movements can be achieved, but human error increases and operational complexity increases
Solution Approach 1:
The drone system automatically controls its own movement by receiving vehicle data (position, speed, direction) and autonomously calculating flight parameters to match vehicle movement, eliminating the need for continuous manual control input from the UAV pilot
Solution Approach 2:
The system continuously receives feedback from vehicle sensors (GPS position, speed, steering angle) and uses this feedback to automatically adjust drone flight control signals, creating a closed-loop control system that maintains coordination without manual intervention
2Extent of automation
If Ground Control Station with additional sensors is installed in the vehicle, then drone movement control can be automated, but vehicle weight increases and device complexity increases
Solution Approach 1:
The system uses the vehicle's existing multi-functional sensors (GPS, speed sensors, steering angle sensors) that serve both vehicle operation and drone coordination purposes, eliminating the need for dedicated drone control hardware
Solution Approach 2:
The patent extracts only the necessary vehicle data (position, speed, direction) that is already being collected by the vehicle's existing sensor systems, rather than adding new specialized sensors, thereby avoiding increased vehicle complexity
Data Source
AI summary
A vehicle integrated unmanned aerial system is disclosed. The system may include a vehicle and an unmanned aerial vehicle (UAV). The vehicle may include a vehicle processor configured to obtain a vehicle telemetry information from a vehicle telemetry unit and a user input from a vehicle user. Further, the vehicle may include a transmitter that may be configured to transmit the vehicle telemetry information and the user input to the UAV. The UAV may include a UAV receiver configured to receive the vehicle telemetry information and the user input. Further, the UAV may include a UAV processor that may be configured to obtain the vehicle telemetry information and the vehicle user from the UAV receiver and predict a vehicle movement based on the vehicle telemetry information. The UAV processor may be further configured to maneuver the UAV based on the predicted vehicle movement and the user input.