Vehicle Object Position Sensing With Orientation Compensation
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Solution Overview
Problem
Conventional object detection systems have limited applications and are unable to accurately determine the position of objects in real-time, especially in environments with movement, such as vehicles.
Innovation Solution
An object position determining system comprising at least one light source, an optical sensor, and a processing circuit that computes distance information and real-time vehicle orientation data to determine the position of objects, such as chairs or objects within a vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional object detection systems are used, then object existence can be detected, but real position and distance cannot be accurately determined
Solution Approach 1:
The system segments the detection task into multiple independent components: light source module, optical sensor module, and processing circuit module. Each module performs a specific function (emitting light, sensing reflected light, computing position), allowing the complex position determination task to be divided into manageable parts that can be implemented with simpler individual components.
Solution Approach 2:
The patent introduces light as an intermediary medium between the object and the detection system. By emitting light toward the object and detecting the reflected light, the system indirectly measures position and distance without requiring direct contact or complex sensors. The light acts as a carrier that transports information about the object's position back to the processor.
2Measurement precision
If object detection is performed in moving vehicles, then position data can be collected, but vehicle movement interference degrades measurement accuracy
Solution Approach 1:
The processing circuit receives both optical data from the sensor and vehicle orientation data from external sources, then uses feedback mechanisms to compensate for vehicle movement. By continuously comparing expected position data with actual measurements and adjusting for vehicle orientation changes, the system eliminates the harmful effects of vehicle movement on measurement accuracy.
Solution Approach 2:
The system takes preliminary action by obtaining vehicle orientation data before processing the optical position data. This allows the processing circuit to pre-calculate compensation values for vehicle movement, applying corrections to the position measurements before final position determination. This proactive approach prevents vehicle movement interference from degrading the final measurement accuracy.
3Adaptability or versatility
If AI algorithms are applied for object detection, then detection capability is enhanced, but training time increases significantly
Solution Approach 1:
The patent employs simpler, non-AI detection algorithms that can be quickly implemented and executed without extensive training requirements. Rather than using complex AI models that require long training periods, the system uses straightforward optical measurement and geometric calculation methods that provide sufficient detection capability for the application while minimizing time investment.
Solution Approach 2:
The patent replaces complex software-based AI processing with simpler optical-geometric calculation methods. By using the known geometry of the light source and sensor arrangement combined with basic trigonometric calculations, the system achieves object position detection without requiring machine learning models, thereby eliminating the need for time-consuming training processes.
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
The system provides accurate and wide-range application for object position detection, reducing interference from vehicle movement by calibrating object positions based on real-time vehicle orientation data.
Implementation Method 1
at least one optical sensor, configured to sense optical data generated based on reflected light of the light
Data Source
AI summary
An object position determining system, applied to a vehicle, comprising: at least one light source, configured to emit light; at least one optical sensor, configured to sense optical data generated based on reflected light of the light; and a processing circuit, configured to compute distance information between the optical sensor and at least one object which generates the reflected light, and real time vehicle orientation data; wherein the processing circuit determines at least one position of the object according to the distance information and the real time vehicle orientation data.


