Vehicle Light Distribution Control Using Map-Based Undetected Objects
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Solution Overview
Problem
Existing vehicle light distribution control systems fail to recognize and illuminate objects outside the vehicle's traveling direction and gazing point, particularly at night, leading to potential erroneous operations like wrong lane traveling due to missed detection of objects such as crosswalks and pedestrians.
Innovation Solution
A vehicle light distribution control apparatus that includes a first surrounding environment recognition device, a vehicle positional information acquiring device, a second surrounding environment recognition device, and an illumination control unit, which compares detected and map-based object information to identify undetected objects, sets priority levels, and adjusts light distribution accordingly to illuminate these objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If light distribution control is based only on detected objects within the illumination range, then the control system is simple and fast, but objects outside the detection range (such as pedestrians on crosswalks) cannot be recognized, leading to erroneous operations
Solution Approach 1:
The patent merges the detected object information from the first surrounding environment recognition device with the map information (including second object information) from the second surrounding environment recognition device. This combination allows the system to identify objects that are not directly detected but are known from map data, thereby improving reliability without requiring completely separate detection systems.
Solution Approach 2:
The illumination control unit acts as an intermediary that compares detected object information with map information, identifies undetected objects, and adjusts light distribution accordingly. This intermediary process bridges the gap between limited detection capabilities and comprehensive environmental awareness, improving object recognition accuracy while maintaining system feasibility.
2Reliability
If the illumination device illuminates all areas based on map information, then all objects are recognized, but energy consumption increases and light distribution becomes inefficient
Solution Approach 1:
The patent applies local quality by adjusting light distribution selectively to specific areas where undetected objects are identified through comparison with map information. Instead of uniformly illuminating all areas, the system concentrates illumination on critical regions (such as areas with undetected pedestrians or crosswalks) while maintaining normal distribution elsewhere, thereby improving detection coverage without proportionally increasing energy consumption.
Solution Approach 2:
The system performs partial action by illuminating only the specific areas where undetected objects are identified, rather than illuminating all areas. This selective approach provides sufficient detection coverage for safety-critical regions while avoiding unnecessary energy consumption in areas that are already properly detected.
3Reliability
If the system compares detected objects with map information to identify undetected objects, then object recognition accuracy improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary action by pre-comparing detected object information with map information to identify undetected objects before final light distribution control is applied. This advance comparison allows the system to prepare identification results in advance, reducing real-time processing requirements and enabling faster response when illumination adjustments are needed.
Data Source
AI summary
A vehicle light distribution control apparatus includes a first surrounding environment recognition device configured to recognize a surrounding environment around a vehicle and detect first object information in the recognized surrounding environment, and a second surrounding environment recognition device configured to acquire map information in a predetermined range based on the positional information of the vehicle, and second object information included in the acquired map information, and an illumination device configured to radiate illumination light. An illumination control unit is configured to compare the first object information and the second object information, identify objects that are detected in the second object information and are not detected in the first object information, set the objects as light distribution candidate objects respectively, set light distribution priority levels of the light distribution candidate objects respectively, and perform the light distribution control based on the light distribution priority levels.