Camera Trajectory Planning for Smooth and Feasible Mobile Shooting
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Solution Overview
Problem
Existing techniques face challenges in creating smooth and feasible shooting and moving trajectories for a mobile body equipped with a camera, as they require manual input of numerous control variables and do not ensure coincident smoothness between moving and shooting trajectories.
Innovation Solution
An information processing method that receives input information on scheduled shooting points and camera attitudes, and processes this information to create a prior trajectory for the mobile body, evaluating and adjusting the trajectory to ensure it is passable by the mobile body.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input of control variables is used to create trajectories, then trajectory feasibility can be ensured, but the complexity of operation increases significantly
Solution Approach 1:
The system automatically generates trajectories by having the mobile body serve itself - the mobile body captures images, the trajectory generation unit creates trajectories based on these images, and the system evaluates and refines trajectories autonomously without requiring manual input of control variables
Solution Approach 2:
The patent replaces manual mechanical input operations with an automated image-based system. Instead of manually inputting control variables, the system uses image capture and processing to automatically determine trajectories, substituting mechanical/manual operations with automated computational processes
2Manufacturing precision
If separate planning of moving trajectory and shooting trajectory is performed, then each trajectory can be optimized independently, but the smoothness between trajectories cannot be guaranteed
Solution Approach 1:
The patent merges the planning of moving trajectory and shooting trajectory into a single integrated process. The trajectory generation unit simultaneously determines both trajectories based on captured images, ensuring they are coordinated and smooth rather than separately optimized
Solution Approach 2:
The trajectory generation unit performs multiple functions - it generates both moving trajectories and shooting trajectories, evaluates their smoothness, and refines them together. This multi-functional approach ensures both trajectories are optimized while maintaining their coordination and smoothness
3Reliability
If users need to know airframe capabilities to create trajectories, then trajectory feasibility can be ensured, but the ease of use decreases
Solution Approach 1:
The mobile body autonomously evaluates whether generated trajectories are feasible by attempting to execute them and capturing images. This self-service approach eliminates the need for users to manually input or verify airframe capabilities, as the system learns and adapts to its own capabilities through autonomous operation
Solution Approach 2:
The system uses captured images as temporary, disposable data to determine trajectories. Instead of requiring persistent knowledge of airframe capabilities stored in the system, the trajectories are derived from transient image data, making the system easier to use while maintaining feasibility through autonomous evaluation
Data Source
AI summary
There is provided an information processing method of the present disclosure includes performing processing to receive, on a predetermined coordinate system, input information including multiple scheduled points of shooting by a camera provided in a mobile body and information on respective camera attitudes at the multiple scheduled shooting points. The information processing method further includes performing processing to create a prior trajectory of the mobile body on a basis of the received input information.