Adaptive Vehicle Headlight Control via Object Detection
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Solution Overview
Problem
Existing vehicle headlight control systems fail to effectively illuminate objects in the driver's field of view, especially in low visibility conditions, and can blind pedestrians or oncoming traffic due to high beam usage, lacking adaptive control for detected objects in front of the vehicle.
Innovation Solution
A vehicle system utilizing a front-facing camera to detect objects and adjust lighting elements' illumination levels and direction to enhance visibility without activating high beams, employing image processing and deep learning for real-time control of lighting elements to optimize illumination based on object detection and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If high beam elements are activated to illuminate objects in front of the vehicle, then illumination intensity is improved, but other drivers may be blinded and oncoming traffic is adversely affected
Solution Approach 1:
The patent applies local quality by selectively illuminating specific regions rather than using uniform high beam illumination. The system divides the field of view into multiple regions and activates only the lighting elements corresponding to regions containing detected objects, providing localized illumination where needed while leaving other areas dark to avoid blinding other drivers.
Solution Approach 2:
The patent segments the headlight assembly into multiple independently controllable lighting elements and divides the camera field of view into corresponding regions. This segmentation allows the system to control each lighting element individually based on object detection results, enabling precise illumination control that avoids unnecessary high beam activation.
2Object-affected harmful factors
If conventional headlight control switches to low beam setting when oncoming vehicles are detected, then harmful factors to other drivers are reduced, but illumination intensity is insufficient for objects in the driver's field of view
Solution Approach 1:
The patent implements dynamic headlight control that adapts illumination patterns in real-time based on detected objects. Rather than statically switching between high and low beam modes, the system dynamically adjusts each lighting element's state (off, low beam, or high beam) based on the presence and location of objects, creating a dynamic illumination pattern that optimizes both visibility and safety.
3Area of stationary object
If adaptive headlight systems control direction based on road curvature or vehicle turning, then field of view is improved, but objects detected in front of the vehicle are not adequately illuminated
Solution Approach 1:
The patent uses feedback from a front-facing camera to detect objects in the driver's field of view and dynamically adjusts lighting element activation accordingly. The camera continuously monitors the scene, identifies objects of interest, and provides feedback to the control system which then activates appropriate lighting elements to illuminate those specific objects, creating a closed-loop system that adapts to real-time conditions.
Data Source
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AI summary
The present disclosure relates to systems, devices and methods for vehicle headlight control. In one embodiment, a method includes receiving image data from a front facing camera of the vehicle and detecting at least one object in the image data. An illumination level of the at least one object in the image data is detected and a control setting is determined to modify illumination of at least one lighting element of the vehicle, wherein the control setting is determined to increase an illumination level for the at least one object. The method also includes controlling the at least one lighting element of the vehicle in response to the control setting. Vehicle systems and devices are provided with a front facing camera and a control unit for a plurality of lighting elements wherein control settings may be modified based on objects detected in image data.