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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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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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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Automatically controlling lights on a vehicle based on driving conditions to comply with regulations. The vehicle has a computer that monitors if the vehicle is on a public road or off-road using sensors, GPS, cameras, etc. The computer then enables/disables lights based on rules for on-road vs off-road driving. This prevents misuse of auxiliary lights on public roads while allowing full use off-road. The computer can also grant the driver manual control of some lights based on conditions.

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Adaptable vehicle lighting system using LED arrays that can change beam patterns based on vehicle dynamics like position, speed, and attitude. The lighting system has multiple LED arrays with controllable current and optics. Sensors detect vehicle characteristics like GPS, accelerometer, and gyroscope. The drive circuitry can adjust the LED brightness and focus based on the sensor inputs to adapt the light output in response to vehicle dynamics.

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Emergency vehicle lighting system that automatically adjusts the light output and flash patterns of the warning lights based on the surrounding conditions to improve conspicuity for other drivers while minimizing annoyance for emergency responders at the scene. The system uses sensors to detect factors like sunlight level, traffic density, and obstructions in the surrounding zones, and then optimizes the light output and flash rates for each zone accordingly. This adaptive lighting aims to strike a balance between maximizing visibility for responding vehicles and minimizing disturbance for scene workers.

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Smart car headlight that can adapt to changing driving environments by intelligently distributing light based on sensing the surroundings. The smart headlight has a sensor, processing module, and LED array. The sensor collects environment data like vehicles, pedestrians, signs, weather, etc. The processing module analyzes this to determine optimal lighting patterns. The LED array emits customized light distributions tailored to the environment. This allows smart headlights to dynamically adjust beam shapes, intensities, and ranges for different situations like urban vs rural roads, rain vs clear, following vs passing cars, etc. The LED array has a microchip, grid, and phosphor sheet to convert blue light into white. The sensor can be lidar or cameras. The processing modules communicate via CAN bus. The LEDs pass through optical elements like lenses and Fresnel lenses.

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Vehicle lighting system that automatically adjusts headlights to improve safety during nighttime meetings between vehicles. The system uses sensors to detect distance, relative angles, road conditions, and headlight height. This data is processed by a controller to optimize headlight brightness and position for safe passing. It allows the system to dynamically adapt headlights based on factors like oncoming vehicle proximity, angles, and road conditions.

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System for controlling the light distribution of vehicle headlights with variable patterns like adaptive driving beams (ADB). It reduces the amount of control data needed to change the headlight patterns while minimizing glare for oncoming vehicles. The system uses separate control signals for brightness and light irradiation instead of sending detailed control data for each LED. A light distribution control device generates brightness control info for each area based on environment data and light irradiation control info indicating which areas should be lit. The lighting control device uses the brightness data to adjust each LED's brightness and the light data to enable/disable areas. This allows compressing the brightness data while keeping the light data uncompressed to avoid false lights on areas with vehicles.

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System to intelligently turn on/off vehicle side lights based on external conditions instead of just vehicle state. The system uses sensors to detect brightness and behavior around the vehicle. It determines whether side lights are needed based on this information. This prevents unnecessary side light usage in situations like well-lit areas or when stopped at intersections. It aims to prevent over-illumination and glare for other drivers while still providing adequate visibility for the vehicle's own side.

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Optimizing headlight performance to avoid dazzling other vehicles without sacrificing road illumination. The technique dynamically adjusts the width of the shadowed region on an adjacent vehicle to balance visibility needs. The shadow width is determined based on distance and target vehicle width. This allows selective suppression of illumination on the adjacent vehicle while still illuminating the road ahead.

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A system to improve headlight performance by using AI to analyze light effects from objects to regulate the ego vehicle's headlights. The system detects lighting patterns from objects like road surfaces, guardrails, etc. using sensors. An AI neural network processes the signals to determine the position and movement of nearby vehicles. This information is used to optimize the ego vehicle's headlight intensity and direction to avoid glare and improve visibility.

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Customizing vehicle components like lights while ensuring compliance with local rules and regulations. The system allows users to customize vehicle light behaviors through a UI. It checks the vehicle location to determine applicable rules and then verifies customization parameters against those rules. If compliant, the customization is allowed. If not, the user is alerted, or the customization is adjusted.

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An intelligent vehicle lighting system that automatically adjusts headlights based on road conditions. A light sensor on one side of the vehicle detects light intensity on the opposite lane. If the sensor reads a high value, a microcontroller triggers lighting system adjustments like beam patterns. This prevents glare for oncoming traffic when sensors detect bright lights ahead. The system can also have a safety feature to change input voltage to the lights via a microtransformer controlled by the microcontroller.

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Vehicle lamp controller that adjusts the light distribution of headlights based on vehicle steering angle and road type to improve visibility and reduce driver discomfort. The controller calculates a target light direction based on vehicle speed, steering angle, and road type (curved vs straight). It gradually shifts the light beam from the initial distribution towards the travel direction when the steering angle exceeds thresholds specific to curved vs straight roads. This prevents excessive shifts on straight roads and ensures optimal light coverage on curved roads.

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Smart sensor LED headlight system for vehicles that provides adaptive beam patterns to improve safety and convenience. The headlight uses parabolic reflector lenses with LEDs mounted at focus points. This allows the low beam LED to project a parallel beam for distant illumination and the high beam LED to project a wider spread beam for closer illumination. The system has sensors to detect conditions like speed, oncoming vehicles, and pedestrians. It can dynamically switch between low and high beams based on these conditions to avoid glare and improve visibility. The sensors also monitor driver health metrics like heart rate, respiration, pulse, and body temperature for biometric applications.

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A lighting control system for vehicles that allows controlling the light distribution of the vehicle headlights based on the type of vehicle in front and the distance to it. The system acquires the type of vehicle in front and periodically detects the distance. It then adjusts the headlight distribution range vertically to prevent glare for the vehicle in front. This enables tailoring the headlight pattern to avoid blinding other vehicles while providing optimal illumination.

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Vehicle headlight system that intelligently adjusts the beam pattern based on surrounding objects using onboard sensors and processing. The system analyzes detected environmental information like vehicles, pedestrians, signs, and obstacles using sensors like radar and cameras. It generates control signals to direct the headlights based on rules like turning them off for objects far away, adjusting beam angles for nearby objects, and projecting light patterns for specific objects like pedestrians. This allows predictive, active headlight control that adapts to the environment without relying solely on passive detection devices.

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Vehicle-mounted intelligent lighting system for automobiles that uses sensors, motors, cameras, and a main controller to intelligently adapt and optimize the lighting based on driving conditions. The system has parallel LED modules controlled by a main controller. Sensors feed back signals to the controller based on factors like speed, which the controller uses to dynamically adjust the LED brightness levels. DC motors interlocked with the LED modules can also move the lights for angle adjustment. Cameras feed back road condition info for further control. The system aims to provide optimized lighting for safety, energy savings, and adaptability.

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Smart lighting system for vehicles that uses IoT technology to intelligently adjust the lighting based on road conditions. The system has a main controller, sensors, LED modules, DC motors, cameras, and a CAN bus for communication. The sensors detect road conditions like other vehicles, pedestrians, and obstacles. The main controller uses the sensor data to control the LEDs, motors, and cameras for optimized lighting. The LEDs can be individually lit, dimmed, or turned off. The motors can adjust beam patterns. The cameras provide additional context. This allows features like adaptive headlights, pedestrian flashing, and dynamic beam shaping. The parallel LED configuration enables independent control and heat dissipation. The CAN bus enables fast communication between components.

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LED lighting control system that optimizes energy usage by dynamically adjusting brightness based on factors like vehicle speed, traffic volume, and lane information. The system has sensors on the LED lights to detect approaching vehicles, and a central control unit. It calculates vehicle speed, traffic volume, and brightness levels based on factors like lane number. The control unit then sets the LED brightness accordingly to save energy when traffic is low, reduce glare for fast-moving vehicles, and balance brightness across lanes with fewer vehicles.

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Vehicle lighting control system that improves visibility and safety by adjusting headlights and taillights based on vehicle motion and braking. It uses inertial sensors to detect acceleration, body posture, etc. to more accurately determine the vehicle's motion state. This allows the headlights to rotate in curves to better illuminate the road instead of just following the steering angle. It also adjusts taillight brightness based on braking level to mitigate glare for following vehicles.

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Lighting arrangement for vehicles that adapts the lighting characteristics based on surroundings to provide optimal visibility and comfort. The vehicle has a control unit that receives environmental data from sensors like cameras. It processes this data to dynamically adjust the lighting function and brightness of the vehicle's lights. The goal is to optimize the lighting based on factors like obstacles, people, and lighting conditions to prevent glare, improve visibility, and provide comfort. The control unit continuously receives sensor data to adapt the lighting in real-time.

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Adaptive headlight system that improves light distribution for safer and more comfortable night driving. The system uses vehicle sensors to detect the environment and driving situation. It then adjusts the headlight beam pattern in real-time to optimize visibility and avoid glare for oncoming traffic. The system compares the detected environment to stored legal light distributions and selects the appropriate one for compliance. This allows adapting the headlight beams based on factors like curves, junctions, and oncoming cars, while still meeting regulatory requirements.

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Vehicle lighting system that optimizes brightness based on driving mode for improved safety and visibility. The system has a vehicle lighting unit that forms a light distribution pattern to illuminate the surroundings. A lighting control unit changes the brightness of the pattern based on the driving mode. When the vehicle is in manual driving, the pattern is bright to provide good visibility. In automated driving, the brightness is reduced to prevent glare and improve safety for other vehicles and pedestrians. This adaptive brightness adjustment based on driving mode enhances lighting effectiveness for manual driving and reduces discomfort from overly bright lighting in automated driving.

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A computer assisted vehicle lighting system that adaptively adjusts the vehicle's headlights based on external lighting conditions. The system receives data from sensors detecting nearby lights and adjusts the vehicle's headlights to mitigate glare for oncoming drivers. It also receives instructions from other vehicles to adjust headlights for compatibility. The system aims to create a more comfortable lighting environment for all drivers by dynamically adapting headlights based on external lighting conditions.

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Adaptive rear LED lighting system for large vehicles like trucks and trailers that adjusts brightness and direction based on ambient light, vehicle speed, and following distance. The system uses sensors to detect these factors and a control unit to generate optimized lighting settings. The LEDs can pivot and dim to provide visibility in different conditions. This improves rear visibility for following vehicles in low light or fog. It also allows identifying large vehicles at night or in glare. The system can be customized for various driving scenarios.

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Headlight system for vehicles that adapt the headlight output based on vehicle location, environment, and speed to provide optimal illumination without glare. The system has a headlight, navigation system, photosensitive sensor, and a controller. The controller adjusts the headlight based on the vehicle's location using cumulative frequency distributions of glare and luminance levels for that area. It also considers the photosensitive sensor output and secondary sensor for road type. Speed is another factor for adjustment.

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A vehicle light system that dynamically adjusts the light output of vehicle lights based on vehicle conditions. The system uses on-board diagnostics (OBD) data from the vehicle to determine optimal light output modes. It then sends commands to the lights to adjust spread, intensity, shape, etc. This allows adaptive lighting that adapts to factors like weather, time, terrain, and vehicle speed. The lights can switch between flood and spot modes, wider beams, higher intensity, etc. The system aims to provide optimized illumination tailored to the driving environment rather than fixed settings.

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Adjustable vehicle light system that allows customizing the light output of a vehicle's headlights and auxiliary lights based on driving conditions and user preferences. Sensors monitor the environment and vehicle state. A processor analyzes the data to determine the optimal light output mode. It sends commands to the lights to adjust parameters like beam shape, intensity, and spread angle. This adaptive lighting provides better visibility in varying conditions without needing multiple fixed lights.

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Method for safely controlling headlights to avoid blinding oncoming traffic when using high intensity headlights. It involves reducing glare range when a non-monitored object is detected outside the monitoring area but still within the glare range. The glare range is adapted, such as reduced, to prevent glare when objects outside the monitoring area are detected. This ensures safe headlight operation with modern high intensity lights that have extended glare ranges. The method involves using a monitoring device with a limited monitoring range where objects can be identified as traffic participants. Outside the monitoring area, objects can still be detected but their classification is uncertain. The headlights are controlled to reduce glare when objects are detected there.

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Adaptive vehicle lighting system that automatically adjusts headlight brightness and beam patterns based on environmental conditions like fog, rain, and darkness. Sensors like light, rain, and radar detectors provide input to a control unit. The control unit processes the data and sends commands to the headlight execution unit to optimize visibility and avoid glare in different conditions. This provides adaptive lighting that improves safety and convenience compared to fixed headlight settings.

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Intelligent headlight control system for vehicles that optimizes lighting based on real-time environmental information. The system uses sensors to collect data about the vehicle and environment. An adaptive control unit processes this data and sends instructions to the headlight electronics to adjust beam patterns. It considers factors like vehicle speed, position, and surrounding infrastructure to provide optimal illumination. The system aims to improve visibility and safety by dynamically adapting headlight output based on context.

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Glare-free high beam headlight control for vehicles that prevents blinding other vehicles without compromising illumination. It uses information about the road course and other vehicle positions to set a safety distance for the headlights. By excluding an envelope area around other vehicles, it prevents glare without needing complex sensors or maps. The road course and other vehicle positions are obtained from cameras or other sources.

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Configurable headlight system that can automatically adjust the beam patterns to meet different regulatory requirements in different countries without needing driver intervention. The headlights have fixed high and low beams, plus inclined light sources for side illumination. A GPS receiver determines the country and a controller alters the side light operation to comply. This avoids manual switches and inconsistent use.

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