Vehicle Position Identification for Precise Adaptive Beam Dimming
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Solution Overview
Problem
Existing light distribution control systems struggle to accurately identify the positions of multiple preceding vehicles, leading to the need for excessively wide dimming ranges to prevent glare, which affects visibility and efficiency.
Innovation Solution
A vehicle position identification apparatus and method that uses a controller to acquire and associate left and right side positions of vehicles on coordinates, determining correspondence relationships based on distance or positional changes, enabling precise light distribution control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the dimming range is expanded to securely prevent glare to multiple preceding vehicles, then the reliability of preventing glare is improved, but the visibility and light distribution efficiency deteriorate due to unnecessary dimming
Solution Approach 1:
The patent replaces traditional image recognition-based position detection with a radar-based detection system. The radar measures relative positions and relative speeds of preceding vehicles, enabling more accurate identification of which vehicles will actually be affected by glare. This substitution allows for precise dimming control that prevents glare to relevant vehicles while maintaining illumination in areas that don't require dimming, thus resolving the contradiction between glare prevention reliability and visibility.
Solution Approach 2:
The patent changes the detection parameters from static image recognition to dynamic radar measurements including relative position and relative speed. By incorporating relative speed information, the system can predict future positions of vehicles and determine whether they will be in the glare area, allowing for more accurate and targeted dimming control that improves visibility while maintaining glare prevention effectiveness.
2Ease of operation
If image recognition process is used to detect light spots of multiple preceding vehicles, then the ease of operation is improved, but the measurement precision of vehicle positions deteriorates
Solution Approach 1:
The patent substitutes radar detection for image recognition-based light spot detection. The radar system directly measures the relative position and relative speed of preceding vehicles, providing more precise positional data without relying on image processing algorithms. This substitution maintains ease of operation while significantly improving measurement precision, as radar can accurately detect vehicles regardless of lighting conditions or vehicle appearance.
Solution Approach 2:
The patent introduces radar as an intermediary detection system between the vehicle and the preceding vehicles. Instead of directly observing light spots through cameras, the system uses radar waves to measure relative positions and speeds, then uses this intermediary data to calculate accurate vehicle positions. This intermediary approach provides more reliable measurement data while keeping the system easy to operate.
Data Source
AI summary
To accurately identify positions of preceding vehicles. A vehicle position identification apparatus having a controller, where the controller (a) acquires position data of each forward vehicle, each position data including a left side position and a right side position of each forward vehicle, and (b) for each position data at a first time and a second time, associates the left side position with a first axis and the right side position with a second axis and obtains a distance between each of the position data on coordinates, or obtains the amount of change in the left side position along the first axis and the amount of change in the right side position along the second axis, and based on the distance or each of the amount of change, identifies a correspondence relationship between each of the position data and each forward vehicle and generates data which indicates the correspondence relationship.