Multipoint Cable Cam Flight Path Control for Smooth UAV Tracking
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Solution Overview
Problem
Typical UAV cable cam systems are limited to a maximum of ten waypoints, fail to provide smooth, continuous cinematic footage, and cannot dynamically adjust traversal speed, leading to poor and unsafe trajectory tracking.
Innovation Solution
A multipoint cable cam (MPCC) system that allows for unlimited virtual waypoints, generates a spline-based flight path, and adjusts camera angles based on distance between drone and camera paths, using vision-based navigation to maintain safe traversal speeds and smooth camera transitions.
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 limited, preventing complex 5-axis flight and camera trajectories
Solution Approach 1:
The system dynamically adjusts the number of waypoints and traversal speed based on mission requirements. The multipoint cable cam system allows for an unlimited number of waypoints while implementing dynamic speed adjustment along the trajectory, enabling complex 5-axis trajectories without requiring manual configuration of each parameter, thus maintaining ease of operation while achieving high adaptability
Solution Approach 2:
The system changes key parameters including the number of waypoints (from fixed 10 to unlimited), traversal speed (from constant to dynamically adjusted), and trajectory complexity (from simple to complex 5-axis). These parameter changes enable the system to handle diverse mission requirements while maintaining user-friendly operation through automated processing
2Device complexity
If typical UAV cable cam systems perform sequential waypoint-to-waypoint missions with discontinuous linear tweening, then the device complexity is reduced, but the manufacturing precision and quality of footage deteriorate, failing to provide smooth continuous cinematic footage
Solution Approach 1:
The system replaces discontinuous linear tweening with continuous curved spline interpolation between waypoints. This curvature-based approach generates smooth transitions in both drone position and camera orientation, eliminating jerky movements and ensuring cinematic-quality footage while maintaining manageable system complexity through automated spline generation
Solution Approach 2:
The system substitutes the simple mechanical approach of linear interpolation with a more sophisticated computational geometry approach using spline curves. This substitution replaces basic linear movement calculations with continuous curved trajectory calculations, significantly improving footage smoothness while the automated processing keeps the overall system complexity manageable
3Ease of operation
If typical UAV cable cam systems use fixed maximum speed for the entire trajectory, then the ease of operation is improved, but the reliability deteriorates, resulting in poor and unsafe trajectory tracking
Solution Approach 1:
The system implements dynamic speed adjustment along the trajectory, automatically modifying traversal speed based on local curvature and safety constraints. The system calculates optimal speed profiles that adapt to changing trajectory conditions, ensuring safe and accurate tracking throughout the mission while requiring minimal user intervention, thus maintaining ease of operation while achieving high reliability
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor trajectory curvature and adjust speed accordingly. By calculating local curvature at each point along the spline-based trajectory and applying curvature-dependent speed limits, the system ensures safe operation in tight turns while maintaining higher speeds on straight sections, achieving both safety and ease of operation
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.