公开(公告)号：US20240004055A1

公开(公告)日：2024-01-04

申请号：US18334013

申请日：2023-06-13

Applicant: Infineon Technologies AG

Inventor： Julius Ott ,  Avik Santra ,  Lorenzo Servadei

IPC: G01S13/58 ,  G01S7/41

CPC classification number: G01S13/581 ,  G01S7/417

Abstract: A radar device includes a radar front end configured to send radar signals and to receive reflected radar signals, processing circuitry configured to provide digital radar data based on the received reflected radar signals, and a digital filter configured to process the digital radar data to obtain information about objects which reflected the radar signals. The device further comprises machine learning logic with a policy network configured to set the parameters of the digital filter based on the digital radar data, and a reward value generating network including a plurality of heads, each head configured to provide a respective expected reward value for a setting of parameters by the policy network. The radar device is further configured to detect that a scene captured by the radar device is not reliably processable based on a distribution of the expected reward values generated by the plurality of heads.

公开(公告)号：US20250035748A1

公开(公告)日：2025-01-30

申请号：US18765922

申请日：2024-07-08

Applicant: Infineon Technologies AG

Inventor： Julius Ott ,  Lorenzo Servadei

IPC: G01S7/41 ,  G01S7/35 ,  G01S13/536 ,  G01S13/58

Abstract: In accordance with an embodiment, a method includes: obtaining radar data indicating a received radar signal of a radar sensor; obtaining data indicating a detection zone in which persons are to be detected; modifying the radar data for masking an undesired zone outside the detection zone; and determining, using a trained neural network, a number of persons within the detection zone based on the modified radar data

公开(公告)号：US20230393240A1

公开(公告)日：2023-12-07

申请号：US18317749

申请日：2023-05-15

Applicant: Infineon Technologies AG

Inventor： Lorenzo Servadei ,  Souvik Hazra ,  Julius Ott ,  Avik Santra ,  Huawei Sun ,  Michael Stephan

IPC: G01S7/41 ,  G01S13/58

CPC classification number: G01S7/417 ,  G01S13/584 ,  G01S7/415

Abstract: In accordance with an embodiment, a method includes estimating a people count of one or more persons included in the scene based on a first range-Doppler measurement map and the second range-Doppler measurement map derived from a radar measurement dataset. Estimating the people count includes inputting the first range-Doppler measurement map into a first data processing pipeline of a neural network algorithm, and inputting the second range-Doppler measurement map into a second data processing pipeline of the neural network algorithm. The first data processing pipeline and the second data processing pipeline includes range-Doppler convolutional layers implementing two-dimensional convolutions along the range dimension and the Doppler dimension, and the neural network algorithm includes an output section for processing a combination of a first output of the first data processing pipeline and a second output of the second data processing pipeline in a regression block.