Sk Telecom Company, Ltd.

Lg Electronics Inc.

Electronics and Telecommunications Research Institute

Soongsil University

Ay Innovative Co. Ltd.

Seong Soo Lee

Jung Hwan Choi

Yoo Jin Choi

Chang Sun Kim

Dong Hoon Yi

Seong Hoon Choi

Seung Min Baek

Jang Hyun Park

Jeong Suk Yoon

Young Gie Kim

Jei Hun Lee

Yie Bin Kim

Sang Ik Na

Su Uk Choe

Tae Wook Kang

A counterattack method against a hacked node in a controller area network (CAN) bus physical layer includes: setting node IDs (NIDs), which are different unique IDs, for each of a plurality of nodes connected to a CAN bus line; determining that an error frame is generated when at least one of a node using a forged NID, a node using a different NID, and a node using a non-existent NID is found; increasing counts of a transmit error counter (TEC) and a receive error counter (REC) of a transmitting node and a receiving node whenever the error frame is generated; and allowing a node of which the count of the TEC or REC is greater than a set threshold value to enter a bus-off state to block the node.

Counterattack method against hacked node in CAN bus physical layer, physical layer security method with can bus node ID auto-setting, and recording medium and system for performing the method

In accordance with an aspect of the present disclosure, there is provided a method of updating a high definition map. The method comprises, acquiring two-dimensional images at a plurality of different locations by using a camera mounted on a vehicle; checking a moving trajectory of the camera for acquiring the two-dimensional images; generating a local landmark map by estimating, based on surface information of a road in the high definition map, a three-dimensional position of a landmark for a lane marking around the moving trajectory of the camera; and updating the high definition map based on the local landmark map.

Apparatus and method for updating detailed map

In accordance with an aspect of the present disclosure, there is provided a method for detecting a lane information comprising: obtaining, from a high definition map, first driving lane information corresponding to estimated position information on a vehicle; obtaining second driving lane information from a front view image from the vehicle captured by a camera installed in the vehicle; converting the first driving lane information and the second driving lane information according to an identical coordinate system; and obtaining final driving lane information by combining the converted first driving lane information and the converted second driving lane information.

Apparatus and method for detecting lane information, and computer-readable recording medium storing computer program programmed to execute same method

Disclosed is a mobile robot and a controlling method of the same. An entire movement region is divided into a plurality of regions, and a partial map is gradually made by using feature points of a plurality of images of the divided regions. Then, the map is compensated into a closed curved line, thereby making an entire map. Furthermore, when the mobile robot is positioned at a boundary of neighboring regions of the cleaning region, the boundary where a closed curved line is formed, the mobile robot compensates for its position based on a matching result between feature points included in the map, and feature points extracted from images captured during a cleaning process.

Mobile robot and controlling method of the same

An automatic brightness adjusting method and apparatus for image signal processor (ISP) is provided. The image processing apparatus may include a histogram generating unit, a cumulative distribution function calculator, and a histogram equalization (HE) unit. The histogram generating unit may generate a histogram of brightness values of pixels in an input image. The cumulative distribution function calculator may generate a cumulative distribution function and an inverse cumulative distribution function, based on the generated histogram. The HE unit may generate a conversion function based on the cumulative distribution function and the inverse cumulative distribution function, and may apply HE to the input image based on the conversion function so as to generate an output image.

Method and apparatus for automatic brightness adjustment of image signal processor

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Seoul, South Korea

Seong Soo Lee