Lg Electronics Inc.

Sungkyunkwan University

Jeihun Lee

Jeongsuk Yoon

Seungmin Baek

Donghoon Yi

Jukyong Jin

Jangwon Lee

Yoojin Choi

Seongsoo Lee

Suuk Choe

Sukhan Lee

Yiebin Kim

Jongwon Park

Hansung Lee

Younggie Kim

Jongwon Yoon

Sangik Na

Yeonchool Park

Soohwan Choi

Seung-Min Baek

Hyuksoo Son

Taegon Park

Yunkeun Kwak

Jichul Kim

The present invention relates to a vehicle driving assisting apparatus comprising: a first camera including a first lens having a first view angle, and acquiring a first image of the front of a vehicle; a second camera including a second lens having a second view angle different from the first view angle, and acquiring a second image of the front of the vehicle; and a processor for detecting an object based on each of the first image and the second image, acquiring stereo images by respectively processing the first image and the second image, and performing a disparity calculation for the front of the vehicle based on the stereo image.

Vehicle driving assisting apparatus and vehicle comprising same

A driver assistance apparatus includes a camera for acquiring a vehicle front view image or a surroundings-of-vehicle image; and a processor for providing a height control signal for a suspension for adjusting an expected impacted portion according to collision between a driver's vehicle and an object detected in the vehicle front view image or the surroundings-of-vehicle image.

Driver assistance apparatus for vehicle and vehicle having the same

A driver assistance apparatus includes an object detection sensor configured to acquire data in a driving direction of a vehicle or around the vehicle. The driver assistance apparatus also includes a processor that is configured to detect an object based on the acquired data and determine, based on the acquired data, a portion of the detected object that is expected to be impacted by the vehicle. The processor is also configured to provide, based on the determined portion of the detected object that is expected to be impacted by the vehicle, a height control signal that controls a suspension of the vehicle to adjust a height of at least a portion of the vehicle.

Disclosed are a robot cleaner capable of performing a cleaning operation by selecting a cleaning algorithm suitable for the peripheral circumstances based on an analysis result of captured image information, and a controlling method thereof. The robot cleaner comprises an image sensor unit configured to capture image information when an operation instructing command is received, and a controller configured to analyze the image information captured by the image sensor unit, and configured to control a cleaning operation based on a first cleaning algorithm selected from a plurality of pre-stored cleaning algorithms based on a result of the analysis.

Robot cleaner and controlling method thereof

A robot cleaner includes wheels mounted at a lower side of a main body of the robot cleaner to allow for traveling of the main body, and wire winding prevention members mounted at the lower side of the main body, each wire winding prevention member having one end extending to be contactable with a rim of the corresponding wheel. The wire winding prevention member is preferably a torsion spring.

Robot cleaner

Provided are a system and method for real-time object recognition and pose estimation using in-situ monitoring. The method includes the steps of: a) receiving 2D and 3D image information, extracting evidences from the received 2D and 3D image information, recognizing an object by comparing the evidences with model, and expressing locations and poses by probabilistic particles; b) probabilistically fusing various locations and poses and finally determining a location and a pose by filtering inaccurate information; c) generating ROI by receiving 2D and 3D image information and the location and pose from the step b) and collecting and calculating environmental information; d) selecting an evidence or a set of evidences probabilistically by receiving the information from the step c) and proposing a cognitive action of a robot for collecting additional evidence; and e) repeating the steps a) and b) and the steps c) and d) in parallel until a result of object recognition and pose estimation is probabilistically satisfied.

System and method for real-time object recognition and pose estimation using in-situ monitoring

Growing community of inventors

Seoul, South Korea

Jeihun Lee