Samsung Electronics Co., Ltd.

Woosuk Kim

Hyunwoong Cho

Jong-Sok Kim

Sungdo Choi

Byung Kwan Kim

Seongwook Lee

Min Sung Eo

YoungMin Kim

Seung Tae Khang

Byungdeok Kim

Jangsu Lee

A processor-implemented method of performing an operation using a complex-valued attention network includes: extracting a complex-valued attention weight from complex-valued input data; and determining complex-valued attention data by applying the extracted complex-valued attention weight to the complex-valued input data.

Method and apparatus with complex-valued attention network

A control apparatus includes a Wi-Fi communication module, a processor, a controller that controls a component of a vehicle, and a memory, wherein the memory stores at least one piece of position information corresponding to a position in the vehicle, and at least one registered pattern of a gesture, face, or shape, the Wi-Fi communication module transmits a transmission signal to the position corresponding to the at least one piece of position information by a Wi-Fi communication method at a preset frequency and receives a reflection signal reflected from an object in response to the transmission signal, the processor acquires an input pattern of a gesture, face, or shape of the object by analyzing the reflection signal, and retrieves a registered pattern matching the input pattern from the at least one registered pattern, and the controller controls the component according to an instruction corresponding to the retrieved registered pattern.

Apparatus and method for controlling vehicle

An object velocity detection method includes: obtaining a first reception signal and a second reception signal that are received in different time intervals through a radar sensor; determining a Doppler effect based on the first reception signal and the second reception signal; determining an angle value of an object based on a signal obtained by compensating for the Doppler effect; obtaining a compensated signal by compensating for the angle value in the second reception signal; and determining a velocity of the object based on the compensated signal.

Method and apparatus with object velocity detection in radar system

A distributed inference system includes an end device and a server. The end device generates status information and generates an inference result corresponding to target data based on a first machine learning model. The server creates a second machine learning model based on the status information and a training dataset including the inference result, calculates an accuracy of the inference result, and provides the second machine learning model to the end device based on the accuracy.

Distributed inference system and operating method of the same

An object detection method and apparatus are provided, the object detection method includes receiving a radar reception signal reflected by an object using a radar apparatus, generating a data set for one or more reflection points of the object by processing the radar reception signal, and detecting the object corresponding to the reflection points based on the data set using a neural network-based object detection model.

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Hwaseong-si, South Korea

Woosuk Kim