System and method for radar-based determination of a number of passengers inside a vehicle passenger compartment

Patent metadata

Field	Value
Publication number	US-11718255-B2
Application number	US-201816630778-A
Country	US
Kind code	B2
Filing date	Jul 13, 2018
Priority date	Jul 13, 2017
Publication date	Aug 8, 2023
Grant date	Aug 8, 2023

Abstract

A method of operating a radar sensor system for determining a number of passengers in a vehicle passenger compartment. The radar sensor system includes at least one radar transmitting antenna and at least one radar receiving antenna and an evaluation and control unit for evaluating Doppler information from the received radar waves. The method includes: transmitting radar waves towards the vehicle passenger compartment; receiving radar waves reflected by a passenger or by passengers being present in the vehicle passenger compartment; generating received radar signals from the received radar waves; mathematically decomposing the received radar signals into a plurality of received signal components; providing values of the received signal components regarding a characteristic parameter to a classifier trained with a plurality of scenarios; identifying one of trained scenarios, based on the provided values; and generating an output signal indicative of the identified scenario.

First claim

The invention claimed is:

1. A method of operating a radar sensor system for determining a number of passengers in a vehicle passenger compartment, the radar sensor system including a radar transmitting unit having at least one radar transmitting antenna and being configured for transmitting radar waves towards the vehicle passenger compartment, a radar receiving unit having at least one radar receiving antenna and being configured for receiving radar waves that have been transmitted by the radar transmitter unit and have been reflected by passengers that are present in the vehicle passenger compartment, and an evaluation and control unit that is at least configured for evaluating Doppler information from the radar waves received by the radar receiving unit, the method comprising at least steps of:
operating the radar transmitting unit for transmitting radar waves towards the vehicle passenger compartment,
operating the radar receiving unit for receiving radar waves that have been transmitted by the radar transmitting unit and that have been reflected by a passenger or by passengers being present in the vehicle passenger compartment,
operating the radar receiving unit for generating received radar signals from the received radar waves,
mathematically decomposing the received radar signals into a plurality of received signal components, wherein each received signal component has a different value regarding at least one characteristic parameter,
wherein the step of decomposing the received radar signals includes performing a discrete wavelet transform, and a step of calculating the Hilbert transform for different levels of the wavelets to determine the at least one characteristic parameter that is given by an instantaneous frequency of the different levels of the wavelets,

providing values of the received signal components regarding the at least one characteristic parameter to a classifier that has been trained by supervised learning using data representing a plurality of scenarios with different numbers of passengers in the vehicle passenger compartment,
based on the provided values of the received signal components regarding the at least one characteristic parameter, identifying one of the trained scenarios, and
generating an output signal that is indicative of the identified scenario.

2. The method as claimed in claim 1 , wherein the step of mathematically decomposing the received radar signals comprises performing a discrete wavelet transform, and wherein the at least one characteristic parameter is formed by a level of the wavelets, and the value regarding the at least one characteristic parameter is given by the individual energy contained in a specific level of the wavelets.

3. The method as claimed in claim 1 , wherein the step of mathematically decomposing the received radar signals comprises performing a discrete Fourier transform, and wherein the at least one characteristic parameter is given by the frequency and the value regarding the at least one characteristic parameter is given by a Fourier coefficient.

4. The method as claimed in claim 1 , wherein the step of identifying one of the trained scenarios is executed by the classifier, which is formed by a support vector machine or a neural network.

5. The method as claimed in claim 1 , wherein the data representing the various scenarios used for training the classifier comprise data simulating at least one road roughness condition.

6. The method as claimed in claim 1 , wherein the vehicle passenger compartment is a passenger car compartment, wherein the step of providing values of the received signal components regarding the at least one characteristic parameter to a classifier that has been trained by supervised learning using data representing a plurality of scenarios with different numbers of passengers comprises a step of training the classifier with a plurality of scenarios, at least including:
a driver's seat,
a passenger front seat, and
a three-seat rear bench,
and wherein in the various scenarios a number of passengers is varied starting from a driver occupying the driver's seat and one passenger occupying one of the other seats, with the other seats being unoccupied, adding another passenger occupying another one of the other seats, up to a driver occupying the driver's seat and four passengers occupying the other seats.

7. A radar sensor system for determining a number of passengers in a vehicle passenger compartment, including:
a radar transmitting unit having at least one radar transmitting antenna and being configured for transmitting radar waves towards the vehicle passenger compartment,
a radar receiving unit having at least one radar receiving antenna and being configured for receiving radar waves that have been transmitted by the radar transmitter unit and that have been reflected by passengers that are present in the vehicle passenger compartment, and
an evaluation and control unit that is configured for evaluating Doppler information from the radar waves received by the radar receiving unit and for automatically executing the steps of the method as claimed in claim 1 .

8. The radar sensor system as claimed in claim 7 , wherein a radar carrier frequency of the transmitted radar waves lies in a frequency range between 2 GHz and 130 GHz.

9. A non-transitory computer-readable medium for controlling automatic execution of the method as claimed in claim 1 , wherein the method steps are stored on the computer-readable medium a program code, wherein the computer-readable medium comprises a part of the radar sensor system or a separate control unit and the program code is executable by a processor unit of the radar sensor system or a separate control unit.

Assignees

• Iee Sa

Inventors

• Dias Da Cruz Steve
• Beise Hans-Peter
• Karahasanovic Una

Classifications

• B60R21/0153 Primary

  using field detection presence sensors · CPC title

• G01S7/354

  Extracting wanted echo-signals (Doppler systems G01S13/50) · CPC title

• G01S13/56

  for presence detection {(presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26)} · CPC title

• B60R21/01534 Primary

  using electromagneticwaves, e.g. infrared · CPC title

• G01S7/356

  involving particularities of FFT processing · CPC title