Helmet-Mounted Camera Orientation Correction for Motorcycle Rear Collision Warning
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Solution Overview
Problem
Motorcycle operators face difficulty in detecting obstacles directly behind them due to limited rearview visibility and skewed camera data from dynamic movements, making it challenging to identify approaching vehicles and prevent collisions.
Innovation Solution
A computer-implemented method using an image capture device mounted on a helmet, combined with an inertial measurement unit, adjusts image frames to compensate for the helmet's orientation and calculates the speed of approaching vehicles, generating a collision warning through an output device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If side mirrors are used to detect obstacles in blind spots, then the ability to detect obstacles is improved, but the view is restricted and camera data becomes skewed
Solution Approach 1:
The patent introduces an intermediary processing system that receives data from multiple cameras and an inertial measurement unit, then synthesizes this information to compensate for restricted views and skewed data. The system acts as a mediator between the physical limitations of mirrors/cameras and the operator's need for accurate obstacle detection, processing raw sensor data into corrected spatial representations.
Solution Approach 2:
The system dynamically changes parameters by adjusting image orientation and spatial relationships based on real-time helmet orientation data from the inertial measurement unit. When the helmet tilts or rotates, the system modifies the captured image parameters (orientation, position) to maintain accurate spatial representation of obstacles, compensating for the restricted view caused by side mirrors.
2Difficulty of detecting and measuring
If vehicle cameras are used to detect obstacles in blind spots, then obstacle detection is improved, but the dynamic nature of the motorcycle and operator skews camera data
Solution Approach 1:
The system implements feedback by continuously monitoring helmet orientation through the inertial measurement unit and using this information to correct camera image orientation in real-time. The IMU provides feedback about helmet position and rotation, which feeds back into the image processing algorithm to dynamically adjust and de-skew the captured images, maintaining measurement precision despite operator movement.
Solution Approach 2:
The patent replaces the mechanical constraint of a fixed camera mounting system with a software-based solution. Instead of physically rigidly mounting cameras to maintain fixed orientation, the system uses computational methods to digitally stabilize and re-orient images based on IMU data, substituting mechanical rigidity with algorithmic correction to maintain measurement accuracy during dynamic operation.
3Measurement precision
If the operator maintains a fixed posture to ensure stable camera data, then measurement precision is improved, but the operator loses the ability to tilt and maneuver naturally
Solution Approach 1:
The system embraces dynamics rather than resisting it. The inertial measurement unit continuously tracks helmet orientation changes as the operator naturally moves and maneuvers, and the image processing system dynamically adjusts image orientation and spatial relationships in real-time. This allows the operator to tilt and maneuver freely while the system adapts to maintain accurate obstacle detection, converting static camera mounting requirements into a dynamic compensation system.
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
This solution provides accurate detection of vehicles behind the motorcycle, regardless of the operator's posture or helmet orientation, enabling timely collision warnings and enhancing safety by compensating for dynamic movements and skewed camera data.
Implementation Method 1
receiving spatial position data about the helmet from an inertial measurement unit integrated with the helmet. The spatial position data includes at least one of a roll angle, a yaw angle, and a pitch angle of the helmet.
Data Source
AI summary
A method for providing a collision warning using an image capture device mounted on a rear portion of a helmet, including receiving a series of image frames and receiving spatial position data about the helmet from an inertial measurement unit. The spatial position data includes at least one of a roll angle, a yaw angle, and a pitch angle of the helmet. The method includes adjusting an orientation of the series of image frames based on the spatial position data. Thus, the orientation of the series of image frames is level with an orientation of the scene. The method includes identifying a target vehicle and calculating a speed of the target vehicle based on a rate of change of a position of the target vehicle. Further, the method includes controlling an output device and/or the motorcycle based on the speed of the target vehicle and the rate of change.