US-12617332-B2 - Simulation image generation method and system for ADB evaluation of test vehicle

US12617332B2US 12617332 B2US12617332 B2US 12617332B2US-12617332-B2

Abstract

The present invention relates to a technology for collecting map information including terrain information through a collectible open map service without actual road measurement information and generating a simulation image by processing an image reflecting a type, a terrain condition, and the like of a road.

Inventors

Soo Bong LEE

Assignees

HYUNDAI MOBIS CO., LTD.

Dates

Publication Date: 20260505
Application Date: 20221129
Priority Date: 20220823

Claims (19)

1 . A simulation image generation method used in evaluating and tuning an adaptive driving beam (ADB) system of a test vehicle, the method comprising: a map input step of receiving externally provided map information of a predetermined region, the map information providing road terrain information including road curvature and road height information along a length of road; prior to generating a simulation image, an information calculation step, performed by an arithmetic processor, of calculating simulation object information of a neighboring vehicle based on driving information of the test vehicle, driving information of a neighboring vehicle positioned around the test vehicle, and the map information, including the road curvature and road height information along a length of the road, wherein the simulation object information includes brightness and size information of lamps of the neighboring vehicle based on a distance between the test vehicle and the neighboring vehicle, positional information of the lamps of the neighboring vehicle based on an analysis of the road curvature from the test vehicle, and positional information of lamps of the neighboring vehicle based on an analysis of the road height from the test vehicle; an image generation step of generating the simulation image by reflecting the simulation object information of the neighboring vehicle in the map information; the simulation image for verifying and tuning performance of the ADB system based on response of the ADB system to the simulation image; and a tuning step of verifying and tuning performance of the ADB system based on response of the ABD system to the simulation image.
2 . The simulation image generation method of claim 1 , wherein, in the map input step, the arithmetic processor receives the externally provided predetermined region including a region in which the ADB evaluation of the test vehicle is to be performed, and receives a corresponding predetermined region from a pre-associated map-providing service server.
3 . The simulation image generation method of claim 1 , wherein the information calculation step includes: an evaluation setting step of setting the driving information of the test vehicle including at least one of vehicle model information, positional information, and speed information of the test vehicle; a peripheral setting step of setting the driving information of the neighboring vehicle including at least one of vehicle presence or absence, vehicle model information, information on neighboring vehicles, and positional information, speed information, and direction information of each neighboring vehicle; and an object calculation step of calculating simulation object information corresponding to the neighboring vehicle based on the test vehicle in a driving environment according to the map information.
4 . The simulation image generation method of claim 3 , wherein the vehicle model information of the test vehicle is selected, or set, in advance by an external input in consideration of a driving environment according to the map information; and the positional information and speed information of the test vehicle are preset by the external input, or are randomly set, or randomly set within a preset range, in consideration of the driving environment according to the map information.
5 . The simulation image generation method of claim 3 , wherein, in the peripheral setting step, the driving information of the neighboring vehicle is preset by an external input, or randomly set or randomly set within a preset range in consideration of the driving environment according to the map information.
6 . The simulation image generation method of claim 5 , wherein the object calculation step includes: a first calculation step of calculating a separation distance between the test vehicle and the neighboring vehicle in the driving environment according to the map information in consideration of (1) the driving information of the test vehicle by the evaluation setting step and (2) the driving information of the neighboring vehicle by the peripheral setting step, and calculating the simulation object information including brightness information and size information of the lamps of the neighboring vehicle according to the separation distance calculated based on the test vehicle.
7 . The simulation image generation method of claim 6 , wherein the object calculation step further includes a second calculation step of using the map information to analyze curvature-related information according to a road type and calculating the simulation object information including positional information of the lamps of the neighboring vehicle based on the test vehicle in consideration of the analyzed curvature-related information in the driving environment according to the map information.
8 . The simulation image generation method of claim 7 , wherein the object calculation step further includes a third calculation step of using the map information to analyze terrain height-related information according to the road type and calculate the simulation object information including positional information of the lamps of the neighboring vehicle based on the test vehicle in consideration of the analyzed terrain height-related information in the driving environment according to the map information.
9 . The simulation image generation method of claim 8 , wherein, in the image generation step, the simulation image in which the brightness information and size information corresponding to the positional information of the lamps of the neighboring vehicle based on the test vehicle are reflected is generated in the driving environment according to the map information.
10 . A simulation image generation system for evaluation and tuning of an adaptive driving beam (ADB) of a test vehicle, the simulation image generation system comprising: a map input unit configured to receive map information of a predetermined region, the map information providing road terrain information including road curvature and road height information along a length of road; a vehicle setting unit configured to set driving information of the test vehicle to be applied to the ADB evaluation and driving information of a neighboring vehicle positioned around the test vehicle; a simulation calculation unit configured to calculate simulation object information of the neighboring vehicle prior to generation of a simulation image, the simulation object information of the neighboring vehicle based on the driving information of the test vehicle, the driving information of the neighboring vehicle, and the map information, including the road curvature and road height information along a length of the road, wherein the simulation object information includes brightness and size information of lamps of the neighboring vehicle based on a distance between the test vehicle and the neighboring vehicle, positional information of the lamps of the neighboring vehicle based on an analysis of the road curvature from the test vehicle, and positional information of lamps of the neighboring vehicle based on an analysis of the road height from the test vehicle; an image generation unit configured to generate the simulation image by reflecting the simulation object information in the map information, the simulation image for verifying and tuning ADB performance of the test vehicle based on response of the ADB to the simulation image; and a tuning system to verify and tune performance of the ADB system based on response of the ABD system to the simulation image.
11 . The simulation image generation system of claim 10 , wherein the map input unit receives externally provided information of a predetermined region including a region in which the ADB evaluation of the test vehicle is to be performed, and receives a corresponding predetermined region from a pre-associated map-providing service server.
12 . The simulation image generation system of claim 10 , wherein the vehicle setting unit includes: an evaluation setting unit configured to set the driving information of the test vehicle including at least one of vehicle model information, positional information, and speed information of the test vehicle; and a peripheral setting unit configured to set the driving information of the neighboring vehicle including at least one of vehicle presence or absence, vehicle model information, information on number of neighboring vehicles, and positional information, speed information, and direction information of each neighboring vehicle.
13 . The simulation image generation system of claim 12 , wherein the evaluation setting unit: selects or sets the vehicle model information of the test vehicle provided externally based on a driving environment according to the map information, and presets the positional information and speed information of the test vehicle provided externally or sets the positional information and speed information of the test vehicle randomly or randomly within a preset range in consideration of the driving environment according to the map information.
14 . The simulation image generation system of claim 13 , wherein the peripheral setting unit externally presets the positional information and speed information of the test vehicle, or sets the driving information of the neighboring vehicle randomly, or randomly within a preset range, in consideration of the driving environment according to the map information.
15 . The simulation image generation system of claim 14 , wherein the simulation calculation unit calculates the simulation object information corresponding to the neighboring vehicle set by the peripheral setting unit in turn based on the test vehicle set by the evaluation setting unit in the driving environment according to the map information.
16 . The simulation image generation system of claim 15 , wherein the simulation calculation unit includes a first calculation unit that calculates, by using the map information, a separation distance between (1) the test vehicle set by the evaluation setting unit and (2) the neighboring vehicle set by the peripheral setting unit in the driving environment according to the map information, and calculates the simulation object information including brightness information and size information of a lamp corresponding to the neighboring vehicle according to the separation distance calculated based on the test vehicle.
17 . The simulation image generation system of claim 16 , wherein the simulation calculation unit further includes a second calculation unit that calculates, by analyzing curvature-related information according to a road type using the map information, the simulation object information including positional information of the lamp corresponding to the neighboring vehicle set by the peripheral setting unit in turn based on the test vehicle set by the evaluation setting unit in consideration of the analyzed curvature-related information in the driving environment according to the map information.
18 . The simulation image generation system of claim 17 , wherein the simulation calculation unit further includes a third calculation unit that calculates, by analyzing terrain height-related information according to the road type using the map information, the simulation object information including the positional information of the lamp corresponding to the neighboring vehicle set by the peripheral setting unit based on the test vehicle set by the evaluation setting unit in consideration of the analyzed terrain height-related information in the driving environment according to the map information.
19 . The simulation image generation system of claim 18 , wherein the image generation unit generates, by using the map information, the simulation image in which are reflected the brightness information and size information corresponding to the positional information of the lamp corresponding to the neighboring vehicle set by the peripheral setting unit based on the test vehicle in turn set by the evaluation setting unit in the driving environment according to the map information.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims priority under 35 U.S.C. § 119 to Korean Patent Application No. 10-2022-0105438, filed on Aug. 23, 2022, in the Korean Intellectual Property Office, the disclosure of which is incorporated herein by reference in its entirety. TECHNICAL FIELD The following disclosure relates to a simulation image generation method and system for adaptive driving beam (ADB) evaluation of a test vehicle, and more particularly, to a simulation image generation method and system capable of evaluating an ADB system mounted on a test vehicle corresponding to various regions to be evaluated by generating a simulation image including the other vehicle or a preceding vehicle reflecting terrain information of an actual road even without measurement information of the actual road. BACKGROUND In general, a lamp device, such as a headlamp as a headlight, a tail lamp, a fog lamp, and a direction indicator lamp, is installed in a vehicle. Among these lamps, the headlight is a main light device of a vehicle, and is a device which is installed on both left and right sides of a front of the vehicle to illuminate a front during night driving so that a driver may safely drive the vehicle. With the development of technology, the headlight has been developed from a method of illuminating light by manually controlling the amount (intensity) of light to a method of adaptively controlling light according to a road and a surrounding environment (objects around a road such as street lamps, signs, etc.). In Korea, traffic accidents occur most often in spring to autumn, but in winter, since the days are getting shorter, it is difficult to secure a field of vision of a driver and a pedestrian and the possibility of traffic accidents increases due to unfavorable driving conditions such as snowy and icy roads, and the fatality rate is high compared to the number of accidents. In particular, during late-night hours in winter, since the field of vision is narrowed, even if accidents occur, the accidents are difficult to see and the discovery of the accidents is often delayed, so it is very important to secure safety. Therefore, an adaptive headlight control method that may help safe driving during night driving becomes more important. First, a high beam assist (HBA) system is a device that automatically turns off and turns on a high beam according to the surrounding conditions. In detail, the HBA system is a system of recognizing lights from neighboring vehicles (opposite vehicles or preceding vehicles) and automatically turning off a high beam when driving with the high beam on, and turning on the high beam again when the lights from the neighboring vehicles are no longer recognized. The next developed technology is an adaptive driving beam (ADB) system, which is an intelligent system that does not simply turn a high beam off and on, but blocks only light in a direction illuminating neighboring vehicles while maintaining the high beam. Specifically, the ADB system is a system that preemptively darkens beam patterns output to positions of neighboring vehicles when the neighboring vehicles appear in a high beam state, and then turns on the beam patterns again when the neighboring vehicles disappear. Accordingly, the ADB system is a system for automatically adjusting high beams to minimize glare for drivers of neighboring vehicles while maintaining brightness of a road surface ahead by providing the drivers with bright light from the high beams on dark roads. Conventionally, for the evaluation of the ADB system, a simulation image including the other vehicle or a preceding vehicle is generated using image data captured while driving on an actual road, and a glare index by the ADB driving is quantitatively evaluated by verifying a masking area on the other vehicle or the preceding vehicle according to the ADB driving of the test vehicle. However, in this case, when developing overseas specifications, the simulation image for screen evaluation may be generated only when road driving image data needs to be secured through a local business trip, so there is a problem in that time and money are excessively consumed. In addition, the evaluation technology of the conventional ADB system quantitatively evaluates the glare index caused by the ADB driving while simply expressing the driving situation as “preceding vehicle appearance/preceding vehicle disappearance or the other vehicle appearance/the other vehicle disappearance.” However, in the actual road driving, it is impossible to express the driving situation only with the conditions of “preceding vehicle appearance/preceding vehicle disappearance or the other vehicle appearance/the other vehicle disappearance.” For example, a separation distance of neighboring vehicles and the test vehicle by time is changed depending on a relative speed (relative vehicle speed) according to a driving speed of the preceding vehicle and a driving speed of the test vehi