CN-122028279-A - Vehicle lamplight decoding control system and method based on Lin/CAN double-bus situation awareness

CN122028279ACN 122028279 ACN122028279 ACN 122028279ACN-122028279-A

Abstract

The invention discloses a vehicle lamplight decoding control system and method based on Lin/CAN double-bus situation awareness. The system comprises a power supply unit, a situation awareness device, a bus protocol decoding control unit, a main control unit and a multichannel power driving module, wherein the power supply unit is connected with a vehicle battery voltage to provide power for the system, the situation awareness device acquires face images, traffic road condition information, ambient illumination intensity and precipitation data, the bus protocol decoding control unit receives and analyzes a vehicle Lin/CAN bus signal to obtain vehicle state information, the main control unit fuses the vehicle state information and the situation awareness information to generate light control instructions, and the multichannel power driving module cooperatively drives corresponding vehicle lamps according to the instructions. According to the invention, through the combination of multidimensional situation awareness and double-bus signal analysis, active recognition and dynamic regulation of vehicle lamplight are realized, the problems that the existing lamplight system needs manual operation and cannot adapt to complex driving environment and driver state are solved, and driving safety and driving experience are effectively improved.

Inventors

XU BAOZHOU
ZHAO LIANG
Zhu mou
WANG YONGQIANG

Assignees

易事达光电(广东)股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. A vehicle light decoding control system based on Lin/CAN double bus situation awareness is characterized by comprising: the power supply unit is used for accessing the voltage of the battery of the vehicle and providing power supply output for the control system; The situation awareness device is used for acquiring situation awareness information, wherein the situation awareness information comprises face images, traffic road condition information, illumination intensity of the environment where the vehicle is located and precipitation data; The bus protocol decoding control unit is used for receiving and analyzing the Lin/CAN bus signals of the vehicle to obtain vehicle state information; The main control unit is connected with the bus protocol decoding control unit and the situation awareness device and is used for generating a light control instruction according to the vehicle state information and the situation awareness information; and the multichannel power driving module is connected with the main control unit and is used for cooperatively driving the corresponding car lamp according to the lamplight control instruction.
2. The control system of claim 1, wherein the context aware means comprises: The environment sensing module is used for collecting the illumination intensity and precipitation data of the environment where the vehicle is located and is connected with the main control unit through the bus protocol decoding control unit; the vehicle networking communication module is used for receiving traffic road condition information from the vehicle networking and is connected with the main control unit through the bus protocol decoding control unit; The in-car camera module is used for collecting face images of in-car personnel and is connected with the main control unit through the bus protocol decoding control unit; the main control unit is also used for: respectively extracting features of the face image, the vehicle state information and the traffic road condition information to correspondingly obtain emotion features of a driver, vehicle driving state features and road condition features; Calculating a spectral attenuation compensation coefficient of the vehicle lamp based on the ambient illumination intensity and the precipitation data; Carrying out fusion processing on the emotion characteristics of the driver, the driving state characteristics of the vehicle and the road condition characteristics to construct driving situation characteristics; Based on driving situation characteristics, optimizing is carried out by taking driving safety and driving emotion matching degree as multiple targets, a target car lamp to be controlled is determined, and control parameters of the target car lamp are generated; Performing self-adaptive correction processing on the control parameters of the target car lamp based on the spectral attenuation compensation coefficient to generate optimized light control parameters of the target car lamp; And controlling the multichannel power driving module to drive the target car lamp based on the optimized light control parameters of the target car lamp.
3. The control system according to claim 2, wherein the internet of vehicles communication module includes a current speed of a vehicle, and performs fusion processing on a driver emotion feature, the vehicle driving state feature, and the road condition feature, to construct a driving situation feature, and specifically includes: Calculating dynamic weight coefficients of the emotion characteristics of the driver, the driving state characteristics of the vehicle and the road condition characteristics based on the current vehicle speed; multiplying the emotion characteristics of the driver, the driving state characteristics of the vehicle and the road condition characteristics with corresponding dynamic weight coefficients respectively to obtain weighted feature vectors; And vector stitching is carried out on the weighted feature vectors, and the driving situation features are generated.
4. A control system according to claim 3, characterized in that said calculating a spectral attenuation compensation coefficient of a vehicle lamp based on said ambient light intensity and said precipitation data, in particular comprises: dividing the ambient illumination intensity into discrete illumination levels, and determining a current precipitation level according to the precipitation data; Indexing in a pre-stored multidimensional lookup table to obtain a basic spectrum attenuation factor based on the illuminance level and the precipitation level; dynamically correcting the basic spectrum attenuation factor according to the current vehicle speed, and reducing the basic spectrum attenuation factor when the vehicle speed is higher than a first threshold value, and increasing the basic spectrum attenuation factor when the vehicle speed is lower than a second threshold value; and calculating a spectral attenuation compensation coefficient of the car lamp based on the basic spectral attenuation factor.
5. The control system according to claim 4, wherein the optimizing is performed for multiple targets based on driving situation characteristics and with a degree of matching between driving safety and driving emotion, and the determining the target lamp to be controlled and generating the control parameters of the target lamp specifically includes: inputting the driving situation characteristics into a preset car light control identification model, and determining a target car light to be controlled; Searching a plurality of historical situation samples which are smaller than a preset threshold value in Euclidean distance with the driving situation characteristics and matched with the lamp type of the target lamp from a sample library of pre-stored historical driving situation-lamp control parameter pairs; obtaining light control parameters corresponding to the historical situation samples from the sample library as reference points, and applying disturbance conforming to preset vehicle lamp safety constraint conditions to each reference point to generate a plurality of candidate vehicle lamp control parameters of the target vehicle lamp; inputting the driving state feature matrix of the vehicle and the road condition features into a running risk assessment model, calculating running risk probabilities corresponding to the candidate car lamp control parameters, and converting the running risk probabilities into running safety rewarding values through a safety probability conversion function; vector projection is carried out on the emotion characteristics of the driver and each candidate car lamp control parameter in a preset joint characteristic space, and cosine similarity among projection vectors is calculated to be used as emotion matching rewarding value; And carrying out weighted summation on the driving safety rewarding value and the emotion matching rewarding value based on a preset safety weight coefficient and an emotion weight coefficient to obtain a comprehensive rewarding value, and selecting a candidate car lamp control parameter with the maximum comprehensive rewarding value as the control parameter of the target car lamp.
6. The control system of claim 5, wherein the adaptively modifying the control parameter of the target lamp based on the spectral attenuation compensation coefficient generates an optimized lamp control parameter of the target lamp, specifically comprising: Calculating theoretical compensation gain based on the spectral attenuation compensation coefficient, and determining a safety redundancy coefficient according to the current speed of the vehicle; Calculating to obtain an actual compensation gain based on the theoretical compensation gain and the safety redundancy coefficient; And correcting the control parameters of the target car lamp based on the actual compensation gain to generate the optimized light control parameters of the target car lamp.
7. The control system of claim 6, wherein the controlling the multi-channel power driving module to drive the target vehicle lamp based on the optimized lamp control parameter of the target vehicle lamp specifically comprises: Determining a target driving channel corresponding to the target car lamp in the multichannel power driving module according to the type identifier of the target car lamp; and converting the optimized light control parameters into driving signals and outputting the driving signals to the multichannel power driving module so as to drive the target car lamp through a target driving channel of the multichannel power driving module, which corresponds to the target car lamp.
8. The control system of claim 3, further comprising an off-board camera module for capturing images of a road surface, wherein the master control unit is coupled to the off-board camera module, and wherein the master control unit is further configured to: when the target car lamp is a dipped headlight, identifying a road surface wet-skid area through the road surface image; calculating a road surface reflection intensity index based on the area occupation ratio of the road surface wet and slippery area and the rainfall data; when the road surface reflection intensity index exceeds a preset reflection intensity threshold value, generating an angle adjustment instruction of a dipped headlight of the vehicle corresponding to the road surface reflection intensity index; and integrating the angle adjusting instruction into the optimized light control parameters.
9. A vehicle light decoding control method based on Lin/CAN dual-bus context awareness, applied to the vehicle light decoding control based on Lin/CAN dual-bus context awareness according to any one of claims 1 to 8, comprising the steps of: The method comprises the steps of obtaining situation awareness information, receiving and analyzing bus signals from a vehicle through a bus protocol decoding unit to obtain vehicle state information, wherein the situation awareness information comprises face images, traffic road condition information, illumination intensity of an environment where the vehicle is located and precipitation data; generating a light control instruction according to the vehicle state information and the situation awareness information; and driving the corresponding car lamp cooperatively according to the lamplight control instruction through the multichannel power driving module.
10. The method according to claim 9, wherein the method further comprises: The whole vehicle controller sends light control instructions to the MCU through the CAN bus, wherein the instructions comprise turning on a vehicle, turning off the vehicle, turning on a left turn lamp, turning on a right turn lamp, turning on a high beam and turning on a low beam; The light control instruction is processed by the MCU output light controller to generate a light control instruction; the light control instruction is transmitted to the car light signal receiver through the Lin bus; The car light signal receiver transmits signals to the Lin bus protocol module; The Lin bus protocol module carries out protocol analysis on the received signals and then sends the signals to the MCU; the MCU generates a driving instruction according to the protocol analysis result and outputs the driving instruction to a power output module; The power output module drives the lamp cap driving module, and then controls the bicolor display module to execute any one or more light modes of welcome, home returning, left turning, right turning, fog light high beam and fog light low beam.

Description

Vehicle lamplight decoding control system and method based on Lin/CAN double-bus situation awareness Technical Field The invention relates to the technical field of vehicles, in particular to a vehicle light decoding control system and method based on Lin/CAN double-bus situation awareness. Background With the rapid development of automotive electronics, lamps are no longer limited to lighting functions, but are increasingly becoming an important medium for vehicle interaction with drivers and the environment. At present, a conventional vehicle light control system generally adopts a passive response mode, for example, a command sent by a vehicle control unit (MCU) is received through a CAN or LIN bus, and the corresponding light actuator (such as a dipped headlight, a high beam, a turn signal, etc.) is directly driven to perform simple on-off operation after decoding. Although some high-end vehicle models begin to introduce basic atmosphere lamp modes such as burst and flash, these modes are mainly triggered by preset fixed programs. However, the existing vehicle light control system lacks the perceptibility of the internal and external environments of the vehicle, and generally still needs to manually operate the light control system according to the environment conditions, lacks an active recognition and reaction mechanism, cannot dynamically provide a vehicle light control scheme conforming to the current driving scene according to the complex driving environment (such as rainy and snowy weather, traffic jams and the like), and has a certain potential safety hazard if the driver forgets to operate the vehicle light in time due to driving carelessness. Secondly, the existing system cannot generate immersive atmosphere light effect conforming to the current scene in a personalized way according to the fatigue state or emotion of the driver, and cannot provide emotional soothing or psychological warning for the driver. Therefore, the existing vehicle light control technology cannot automatically adapt to complex and changeable driving environments and driving states of drivers, and driving safety and driving experience of the drivers are difficult to effectively improve. Disclosure of Invention The embodiment of the invention provides a vehicle light decoding control system and method based on Lin/CAN double-bus situation awareness, which CAN automatically adapt to complex and changeable driving environments and driving states of drivers, thereby effectively improving driving safety and driving experience of the drivers. The embodiment of the invention provides a vehicle light decoding control system based on Lin/CAN double-bus situation awareness, which comprises the following components: the power supply unit is used for accessing the voltage of the battery of the vehicle and providing power supply output for the control system; The situation awareness device is used for acquiring situation awareness information, wherein the situation awareness information comprises face images, traffic road condition information, illumination intensity of the environment where the vehicle is located and precipitation data; The bus protocol decoding control unit is used for receiving and analyzing the Lin/CAN bus signals of the vehicle to obtain vehicle state information; The main control unit is connected with the bus protocol decoding control unit and the situation awareness device and is used for generating a light control instruction according to the vehicle state information and the situation awareness information; and the multichannel power driving module is connected with the main control unit and is used for cooperatively driving the corresponding car lamp according to the lamplight control instruction. According to a second aspect, another embodiment of the present invention correspondingly provides a vehicle light decoding control method based on Lin/CAN dual-bus context awareness, which is applied to the vehicle light decoding control system based on Lin/CAN dual-bus context awareness according to any one of the above schemes, and includes the following steps: Receiving and analyzing bus signals from a vehicle through a bus protocol decoding unit to obtain situation awareness information, wherein the situation awareness information comprises face images, vehicle state information, traffic road condition information, illumination intensity of the environment where the vehicle is located and precipitation data; Generating a light control instruction according to the context awareness information; and driving the corresponding car lamp cooperatively according to the lamplight control instruction through the multichannel power driving module. Compared with the prior art, the embodiment of the invention has the following beneficial effects: The intelligent vehicle lamp driving system is characterized in that the main control unit CAN directly master the real-time multidimensional states covering people, vehicles an