Panoramic Camera Stitching With IMU Stabilization for 360° Awareness
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Solution Overview
Problem
Existing body cameras, including those used by police, K-9 dogs, and robots, suffer from performance issues such as blind spots, motion instability, and lack of orientational awareness, which affect the usability and reliability of the captured video.
Innovation Solution
Implementing a panoramic video stitching and stabilization system with multiple cameras positioned to provide a 360-degree view, using a virtual center point aligned with the user's perspective, and incorporating inertial measurement units for stabilization, along with laser designation systems for remote guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a single camera is used for body mounting, then the device complexity is low, but blind spots and lack of environmental awareness occur
Solution Approach 1:
The camera system is divided into multiple independent camera modules positioned at different locations (front, rear, left, right) to capture different fields of view. Each camera independently captures images of specific directions, and their combined data provides complete 360-degree environmental coverage without blind spots.
2Loss of information
If multiple cameras are positioned around the user for 360-degree coverage, then environmental awareness is improved, but device complexity and processing requirements increase
Solution Approach 1:
The multiple camera modules serve universal functions of capturing images for different purposes: individual cameras provide specific directional views while collectively they create comprehensive panoramic coverage, 360-degree video, and environmental awareness. The system can selectively use subsets of cameras based on operational needs.
3Stability of the object's composition
If traditional video stabilization is used, then motion stability is partially improved, but orientational awareness and natural first-person view are lost
Solution Approach 1:
The system uses feedback from orientation sensors (accelerometers, gyroscopes, magnetometers) to continuously monitor the user's head movements and camera orientation. This feedback is processed to dynamically adjust and stabilize the panoramic video output, maintaining a natural first-person perspective while compensating for motion instability.
4Loss of information
If panoramic video stitching is implemented, then complete environmental view is achieved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary calibration and establishes predetermined transformation relationships between multiple camera coordinate systems during setup. This pre-computed spatial mapping allows real-time panoramic stitching without extensive computational overhead during operation, as the geometric relationships are already established.
Data Source
AI summary
An imaging system may include a plurality of networked imagers arranged in a geometric arrangement with respective fields of view covering part or all of a panoramic geometry, at least one inertial measurement unit (IMU) in communication with the networked imagers configured to generate orientation data indicating orientations of the plurality of networked imagers, and at least one processor in communication with the networked imagers and the at least one IMU. The at least one processor may be configured to receive a plurality of images from the plurality of networked imagers and combine the plurality of images into at least one combined image by positioning pixels of each of the plurality of images relative to pixels of the remaining plurality of images, associating the positioned pixels with the orientation data, and merging the oriented pixels of each of the plurality of images into the at least one combined image.