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4-Traders Homepage  >  Equities  >  KOREA EXCHANGE  >  HYUNDAI MOBIS CO., LTD.    012330   KR7012330007

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HYUNDAI MOBIS : Patent Issued for System and Method of Detecting Preceding Vehicle by Using Sensor (USPTO 9829570)

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12/07/2017 | 08:04pm CET

By a News Reporter-Staff News Editor at Journal of Engineering -- From Alexandria, Virginia, VerticalNews journalists report that a patent by the inventor Kim, Won Gyum (Yongin-si, KR), filed on February 4, 2015, was published online on November 28, 2017.

The patent's assignee for patent number 9829570 is Hyundai Mobis Co. Ltd. (Seoul, KR).

News editors obtained the following quote from the background information supplied by the inventors: "An autonomous emergency braking (AEB) system, which is a system for detecting a front preceding vehicle and controlling braking of a vehicle according to detected information, uses a 3D image camera sensor, such as a radio detection and ranging (RADAR) sensor, a light detection and ranging (LIDAR) sensor, a stereo camera, and a sensor fusion, in order to detect a preceding vehicle.

"However, the RADAR sensor in a milliliter wave band has a disadvantage of low horizontal resolution, and the stereo camera in a visible ray area is vulnerable to a night environment. Accordingly, a recently developed AEB system exclusively uses the LIDAR sensor for detecting a preceding vehicle.

"In the meantime, a preceding vehicle detecting system using a LIDAR sensor in the related art collects laser beam reflected and returned from a front preceding vehicle, calculates a distance to the preceding vehicle based on the collected laser beams, and detects and classifies the preceding vehicle by using the calculated distance information and the amount of collected light reflected.

"However, there is a problem in that the preceding vehicle detecting system for classifying a preceding vehicle by using the amount of reflected light in the related art is very difficult to maintain reliability for classifying a preceding vehicle due to reflection noise by a color, a geometric shape, and a surrounding environment of the preceding vehicle, bad weather, and the like.

"Accordingly, in addition to the preceding vehicle detecting system in the related art, a preceding vehicle detecting system for improving performance in classifying a preceding vehicle and minimizing erroneous detection of a preceding vehicle needs to be developed."

As a supplement to the background information on this patent, VerticalNews correspondents also obtained the inventor's summary information for this patent: "The present invention has been made in an effort to provide a system and a method of detecting and classifying a preceding vehicle by using information on the number of rear reflectors mounted at a rear side of a vehicle and an interval between the rear reflectors, and determining an operation point of an autonomous emergency braking system of a host vehicle according to the detected and classified preceding vehicle.

"An exemplary embodiment of the present invention provides a system for detecting a preceding vehicle, including: an image sensor configured to generate image information containing information on reception intensity of light reflected from a preceding vehicle; a pixel detection unit configured to detect pixel areas corresponding to light reflected from rear reflectors of the preceding vehicle from the generated image information; and an autonomous emergency braking (AEB) operation point controller configured to group adjacent pixel areas among the detected pixel areas, and classify the kind of vehicle of the preceding vehicle by using at least one element of information between information on the number of grouped pixel areas and information on an interval.

"The AEB operation point controller may include: a classifier configured to classify the kind of vehicle of the preceding vehicle; and an operation point determination unit configured to determine an operation point of an AEB system of a host vehicle according to the classified kind of vehicle.

"When the number of grouped pixel areas is one, the AEB operation point controller may classify the preceding vehicle into a two-wheel vehicle, and when the number of grouped pixel areas is two, and an interval between the grouped pixel areas belongs to a predetermined rear reflector reference interval range of a four-wheel vehicle, the AEB operation point controller may classify the preceding vehicle into a four-wheel vehicle.

"When the number of grouped pixel areas is three, the AEB operation point controller may classify a group having the second largest interval among the intervals between the grouped pixel areas into the group of rear reflectors of the four-wheel vehicle.

"The AEB operation point controller may classify the preceding vehicle into any one of a small-size vehicle, a midsize vehicle, and a full-size vehicle according to the information on the interval between the grouped pixel areas.

"The AEB operation point controller may calculate a difference in a grade value between the preceding vehicle and a host vehicle with reference to a table, in which grades of the kind of vehicle are numerically expressed, and determine an operation point of the AEB system of the host vehicle according to a result of the calculation.

"The pixel detection unit may detect light reflected from the rear reflector of the preceding vehicle by using a value of reflection intensity of light from a pre-learned cat's eye and a value of reflection intensity from the rear reflector.

"The image sensor may be a light detection and ranging (LIDAR) sensor which is capable of generating reception intensity of light reflected from the preceding vehicle as 3-dimensional (3D) image information.

"Another exemplary embodiment of the present invention provides a method of detecting a preceding vehicle, including: generating image information containing information on reception intensity of light reflected from a preceding vehicle; detecting pixel areas corresponding to light reflected from rear reflectors of the preceding vehicle from the generated image information; grouping adjacent pixel areas among the detected pixel areas; classifying the kind of vehicle of the preceding vehicle by using at least one element of information between the information on the number of grouped pixel areas and information on an interval; and determining an operation point of an autonomous emergency braking (AEB) system of a host vehicle according to the classified kind of vehicle.

"The classifying of the kind of vehicle of the preceding vehicle may include classifying the preceding vehicle into a two-wheel vehicle when the number of grouped pixel areas is one.

"The classifying of the kind of vehicle of the preceding vehicle may include classifying the preceding vehicle into a four-wheel vehicle when the number of grouped pixel areas is two, and an interval between the grouped pixel areas belongs to a predetermined rear reflector reference interval range of a four-wheel vehicle.

"The classifying of the kind of vehicle of the preceding vehicle may include classifying a group having the second largest interval among the intervals between the grouped pixel areas into the group of rear reflectors of the four-wheel vehicle when the number of grouped pixel areas is three.

"The classifying of the kind of vehicle of the preceding vehicle may include classifying the preceding vehicle into any one of a small-size vehicle, a midsize vehicle, and a full-size vehicle according to the information on the interval between the grouped pixel areas.

"The determining of the operation point of the AEB system of the host vehicle may include calculating a difference in a grade value between the preceding vehicle and a host vehicle with reference to a table, in which grades of the kind of vehicle are numerically expressed, and determining an operation point of the AEB system of the host vehicle according to a result of the calculation.

"The detecting of the pixel areas corresponding to the light reflected from the rear reflectors of the preceding vehicle may include detecting light reflected from the rear reflector of the preceding vehicle by using a value of reflection intensity of light from a pre-learned cat's eye and a value of reflection intensity from the rear reflector.

"According to the exemplary embodiments of the present invention, it is possible to improve performance in classifying the preceding vehicle and minimizing erroneous detection compared to a system for detecting and classifying a preceding vehicle by using the amount of light reflection in the related art by detecting and classifying a preceding vehicle by using a geometric characteristic of a rear reflector mounted in a vehicle.

"It is also possible to more accurately adjust an operation point of an AEB system by using information on the classified kind of vehicle of the preceding vehicle and travelling information about a host vehicle, thereby decreasing damages of a vehicle accident."

For additional information on this patent, see: Kim, Won Gyum. System and Method of Detecting Preceding Vehicle by Using Sensor. U.S. Patent Number 9829570, filed February 4, 2015, and published online on November 28, 2017. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=9829570.PN.&OS=PN/9829570RS=PN/9829570

Keywords for this news article include: Hyundai Mobis Co. Ltd.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2017, NewsRx LLC

(c) 2017 NewsRx LLC, source Science Newsletters

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