Multipoint UAV Cable Cam Path Control With Spline Speed Profiling
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Solution Overview
Problem
Existing UAV cable cam systems are limited to a maximum of ten waypoints, do not provide smooth, continuous cinematic footage, and cannot dynamically adjust traversal speed, leading to poor and unsafe trajectory tracking.
Innovation Solution
The multipoint cable cam (MPCC) system generates unlimited virtual waypoints along a predetermined path, processes these waypoints to create a spline-based flight path, and dynamically adjusts speed based on trajectory curvature and user-defined speed profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If typical UAV cable cam systems use a limited number of waypoints (maximum ten), then the system complexity is reduced and ease of operation is improved, but the adaptability and versatility are worsened as complex cinematic shots requiring more than ten waypoints cannot be executed
Solution Approach 1:
The system dynamically adjusts the number of waypoints based on the complexity of the desired trajectory. Instead of a fixed limit of ten waypoints, the system can generate an unlimited number of virtual waypoints along the flight path, allowing execution of complex cinematic shots while maintaining ease of operation through automated waypoint generation.
Solution Approach 2:
The flight path is segmented into multiple virtual waypoints that can be generated dynamically along the trajectory. This segmentation allows the system to break down complex cinematic shots into manageable segments, enabling execution of trajectories that would otherwise require more than ten waypoints while maintaining system simplicity.
2Device complexity
If typical UAV cable cam systems use sequential waypoint-to-waypoint missions with discontinuous linear tweening, then the device complexity is reduced, but the manufacturing precision and quality of footage are worsened as smooth continuous cinematic footage cannot be achieved
Solution Approach 1:
The system replaces discontinuous linear tweening with continuous curved trajectories using spline interpolation. This curvature-based approach generates smooth transitions between waypoints, producing cinematic-quality footage while maintaining relatively simple device implementation through software-based path generation.
Solution Approach 2:
The system ensures continuous smooth motion along the flight path by using spline-based interpolation between waypoints rather than discontinuous linear transitions. This continuity of motion maintains acceptable device complexity while dramatically improving footage quality and cinematic效果.
3Ease of operation
If typical UAV cable cam systems use a fixed maximum speed for the entire trajectory, then the ease of operation is improved, but the productivity and safety are worsened as the system cannot dynamically adjust speed for different trajectory segments
Solution Approach 1:
The system dynamically adjusts the traversal speed along different segments of the trajectory based on curvature and safety constraints. Instead of a fixed maximum speed, the system calculates optimal speed profiles that adapt to local trajectory characteristics, improving both productivity through faster traversal where safe and safety through reduced speed in critical segments.
4Ease of operation
If typical UAV cable cam systems use a fixed maximum speed for the entire trajectory, then the ease of operation is improved, but the reliability is worsened as poor and unsafe trajectory tracking occurs when dynamic speed adjustment is needed
Solution Approach 1:
The system uses feedback from trajectory curvature and safety constraints to dynamically adjust speed along the flight path. This feedback mechanism ensures reliable and safe trajectory tracking by continuously adapting speed to match local conditions, while maintaining ease of operation through automated control.
Data Source
AI summary
This disclosure describes a method of controlling an unmanned aerial vehicle (UAV). The steps of controlling include acquiring images with an image capture device of an unmanned aerial vehicle (UAV). The steps include analyzing the images to determine navigation information of the UAV with a vision-based navigation system. The steps include tracking a position of the UAV with the vision-based navigation system. The steps include controlling rotors of the UAV to prevent deviations in movement from a desired flight path or position of the UAV. The steps include limiting travel or flight of the UAV to a physical region determined by the desired flight path.