UAV Gesture-Guided Launch and Landing Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current UAVs require extensive training and practice for amateur operators to master landing and takeoff, especially on uneven surfaces and in adverse environmental conditions, making these processes challenging and inaccessible to those with little training.
Innovation Solution
The development of methods and designs for UAVs that include sensors to detect positional changes, visual signals, and grip releases, allowing for automatic activation of rotor blades to generate lift and thrust, enabling quick and efficient launch and deceleration, including landing, using sensors like inertial, GPS, and visual sensors, and actuators such as DC brushless motors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual control methods are used for UAV launch and landing, then operational control is maintained, but extensive training and practice are required making it inaccessible to amateur users
Solution Approach 1:
The UAV automatically detects its own positional changes and environmental conditions through onboard sensors (accelerometers, GPS, visual sensors) and autonomously activates rotor blades to generate lift and thrust, eliminating the need for manual control input during critical launch and landing phases
Solution Approach 2:
Manual mechanical control operations are replaced by an automated sensing and control system that uses sensors to detect positional changes and environmental factors, processes this information, and automatically actuates the rotor system to provide controlled launch and landing
2Ease of operation
If automated sensing and control systems are added to simplify operation, then ease of operation improves, but device complexity increases
Solution Approach 1:
The sensor system serves multiple functions: accelerometers detect positional changes for launch detection, GPS provides location data for environmental assessment, and visual sensors detect environmental conditions. This multi-functional approach consolidates what could be separate systems into an integrated sensing platform
Solution Approach 2:
The system continuously monitors positional changes through sensors and uses this feedback to automatically adjust rotor blade activation, creating a closed-loop control system that adapts to real-time conditions without requiring manual intervention
3Measurement precision
If manual control is used for precise positioning during launch and landing, then control precision is maintained, but extensive training is required
Solution Approach 1:
The UAV's onboard sensors (accelerometers, GPS, visual sensors) automatically detect and process positional information with high precision, eliminating the need for the operator to manually judge or control positioning during critical phases
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
These methods and designs simplify the launch and landing processes, allowing amateur users to operate UAVs with minimal training, enabling operation on uneven surfaces and in various environmental conditions, improving user experience and accessibility.
Implementation Method 1
activating the one or more rotor blades to generate a lift and/or thrust
Data Source
AI summary
An unmanned aerial vehicle (UAV) landing method includes detecting, via one or more visual sensors, a gesture or movement of an operator of a UAV; and controlling to decelerate, with aid of one or more processors and in response to the detected gesture or movement, one or more rotor blades of the UAV to cause the UAV to land autonomously.