Automotive Lighting Standards Implementation

Intelligent vehicle ambient lighting system that uses environmental data and road conditions to optimize lighting for safety and efficiency. The system detects the starting environment, generates environmental data based on light parameters, vehicle count, etc. It matches this data with preset lighting strategies to determine an initial lighting scheme. Then, as the vehicle drives, it monitors road conditions to determine distress probability and adjusts lighting accordingly. This provides early warnings to avoid accidents. It also responds to in-car lighting requests, but checks if they match environment data to avoid excessive switching.

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Vehicle lighting control system that optimizes headlight usage based on real-time road conditions to improve safety and prevent glare. The system uses data collection, analysis, and vehicle control modules to adjust headlights based on road lighting, obstacles, environment, and indicators. It analyzes lighting, obstacle, and environmental data to determine if lights are needed, brightness, and angle. It also compares lighting with surrounding brightness to prevent overillumination. This allows dynamic headlight adaptation to avoid glare and improve visibility in varying conditions.

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Adaptive high and low beam matrix car lighting system using miniLED arrays that provides improved visibility and safety for night driving. The system has a miniLED array instead of traditional headlight sources. It dynamically adjusts the beam pattern based on surroundings using sensors. A heat dissipation system prevents overheating. The miniLED array is integrated on a circuit board with a heat sink, fan, and temperature control. The system optimizes heat dissipation, stabilizes the miniLEDs, and reduces brightness if they overheat.

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Vehicle lighting control system that allows individual control of each LED light in a vehicle's lighting array. The system uses a two-stage power supply circuit with a boost chip followed by a matrix chip to provide adjustable voltage and current to each LED. This allows precise dimming and brightness control of individual lights. The system also integrates communication interfaces like CAN, SPI, and NTC to provide diagnostics, temperature monitoring, and fault detection.

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Adjustable light distribution lighting device for roadways that can adapt the light distribution to match the specific road conditions and environment. The device uses multiple light-emitting modules and sensing modules. Each light-emitting module projects light into the area. Sensors measure the light reflectance. The control module adjusts the driving current of each light-emitting module based on the sensor readings. This allows the combined light distribution to be optimized for the specific road layout, width, grade, surface materials, etc. The adaptive lighting provides better road illumination for safety in varying conditions compared to fixed light distributions.

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Vehicle signal lights that comply with on-road vehicle signal light requirements and can be controlled to meet lighting requirements for various vehicle light positions while also providing flexibility for lighting applications in the off-road environment. The lights use a plurality of RGB LEDs behind a clear lens. A controller monitors vehicle conditions and sends lighting commands to activate one or more LEDs based on the conditions. This allows a single light fixture to meet different lighting requirements by controlling the LED colors.

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LED lighting system for vehicles that uses IoT technology to improve safety and efficiency. The system has a control device, an IoT system, and at least one LED lighting device. The IoT system includes sensors like a driver's seat sensor, windshield light sensor, and center console light sensor. This allows the system to detect conditions like streetlights, oncoming vehicles, and interior light levels. The control device uses this data to intelligently switch between high and low beams, wide beams, and interior lights. This improves visibility, reduces glare, and conserves power compared to fixed modes.

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Vehicle lighting control method that accurately adjusts headlight brightness and angle based on vehicle speed, ambient light, position, and obstacle movement. The method involves determining the relative position and angular coordinates between the vehicle and obstacles using sensor data. This allows real-time adjustment of headlight intensity and aiming to optimize visibility without dazzling other drivers or pedestrians. The goal is to avoid untimely brightness changes and improve safety compared to static headlight settings.

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A lighting management system for vehicles and infrastructure that improves visibility in a traffic environment. The system coordinates the lighting of vehicles and nearby infrastructure based on conditions to ensure adequate lighting levels and visibility. It determines lighting criteria like intensity, range, color, and flashing for the vehicle and infrastructure. If the combined lighting doesn't meet the criteria, it adjusts the vehicle and infrastructure lighting to improve visibility.

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Driving light system for vehicles that reduces glare from road signs by automatically adjusting the brightness of the light beams based on reflected light detected by sensors in each module. The system uses an array of lighting modules with individual light emitters and directional sensors. The sensors detect reflected light from signs in the beam path and a central controller adjusts the emitter brightness to compensate. This prevents intense flare back from signs as they get closer.

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A vehicle lighting control system that reduces glare and improves safety for other vehicles by adapting the ego vehicle's lighting based on surrounding conditions. The system uses sensors to detect nearby vehicles and their positions/directions, then generates customized lighting control signals for the vehicle's lights. This allows independent control of front, rear, and side markers to prevent dazzling other drivers based on their relative positions. It also prevents automatic light activation in tunnels or roundabouts with detected vehicles nearby. The system can also dim tail lights when a following vehicle is detected. The aim is to avoid impairing or blinding other drivers by optimizing lighting based on surrounding traffic.

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Vehicle lighting control that improves safety and convenience by using data fusion to accurately detect when a vehicle enters low-light areas like tunnels or parking garages. The method fuses signals like external light, vehicle speed, position, and road information to make a more reliable determination than just external light alone. This allows proactive lighting and display adjustments as the vehicle approaches low-light areas, avoiding delays and dazzle compared to relying solely on external light.

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Intelligent regulation of vehicle lighting to improve nighttime driving safety and experience by adjusting headlights based on driving conditions and external lighting. The method involves using sensors like lidar, photosensors inside the vehicle, and time-series planning to determine optimal headlight settings. It divides the driving plan into segments based on timing info, collects monitoring data, determines external illumination, gets in-vehicle light index, and generates a light control signal. This signal is combined with timing to intelligently regulate the headlights.

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Emergency vehicle lighting system that adapts the warning lights and scene lights to maintain high conspicuity while minimizing annoyance at the scene. The system uses sensors to detect conditions in the zones around the vehicle and adjusts the light output of the corresponding lights accordingly. This allows automated optimization of lighting levels based on factors like sunlight, obstructions, and scene activity.

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Controlling an LED lighting system in autonomous vehicles to provide a visible indication of autonomous mode. When the vehicle is in autonomous mode, cyan LEDs are activated in separate groups of cyan-amber, cyan-red/amber, and pure cyan LEDs. This creates a distinct cyan light when the vehicle is autonomous without obscuring normal indicators like headlights, turn signals, etc.

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Smart lighting system for vehicles that uses dedicated cameras and onboard processing to improve visibility of road signs and pedestrians. The system has smart headlights with cameras, processors, and adjustable beams. It detects objects like signs and pedestrians, identifies them, and directs the headlight beams to illuminate them. The cameras provide real-time scene data to the processors that analyze and direct the headlights. This allows targeted lighting to enhance visibility of critical objects like signs and pedestrians as the vehicle approaches.

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Automatically turning on vehicle lights when driving conditions are deemed dangerous, even if the light switch is off. The system detects if the vehicle is in a dark environment, going fast, and has poor weather. If so, it warns the driver that the lights are off and forcibly turns them on to prevent accidents in dangerous driving conditions.

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A luminous flux control system for vehicles that adaptively adjusts headlight and taillight brightness based on surrounding conditions to improve energy efficiency and reduce light pollution. The system uses sensors to detect nearby objects and reduces light output as distances increase. It also has a delay and recovery feature to prevent sudden brightness changes. The system can be selectively disabled based on triggers like manual headlight activation.

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Adaptive vehicle light control system that automatically adjusts headlights based on vehicle location, ambient light, and environment conditions to prevent accidents caused by improper light adaptation. The system acquires vehicle position, speed, ambient light, and front target information. It processes this data to generate optimal headlight control signals for the current conditions.

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Intelligent headlight control system for vehicles that automatically adjusts the headlight beam pattern based on external light conditions and vehicle speed to improve safety and prevent violations. The system uses an external light intensity sensor to monitor outside light levels and a speed sensor to detect vehicle speed. This data is analyzed to determine when to switch between high and low beams and avoid dazzling oncoming traffic or over-illuminating surroundings. It aims to provide optimal headlight usage for different driving scenarios without manual intervention.

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