Method and device for setting up a movement model of a road user

Patent metadata

Field	Value
Publication number	US-10127815-B2
Application number	US-201515513210-A
Country	US
Kind code	B2
Filing date	Jul 30, 2015
Priority date	Sep 23, 2014
Publication date	Nov 13, 2018
Grant date	Nov 13, 2018

Abstract

A method for setting up a movement model of a road user includes reading in a current movement vector of the road user, averaging movement vectors read in over of period of time to obtain a characteristic movement value of the road user for the period of time, and ascertaining a movement model using the movement value.

First claim

What is claimed is:

1. A method for setting up a movement model of a road user for a transition from running to walking or standing or vice versa, the method comprising:
at each of a plurality of moments over a period of time, reading in, by processing circuitry, a respective current movement vector of the road user, to obtain a plurality of movement vectors;
using, by the processing circuity, the plurality of movement vectors to obtain a characteristic movement value of the road user for the period of time; and
ascertaining, by the processing circuitry, the movement model using the movement value;
wherein as the characteristic movement value, an average acceleration for at least one characteristic movement sequence of the road user and speeds typical for this are ascertained continuously over a longer time period to prepare the movement model that is valid for the road user, and wherein the characteristic movement sequence represents the transition from running to walking or standing or vice versa.

2. The method of claim 1 , further comprising:
repeating the reading in and the using to obtain a further movement value for a further period of time; and
updating the movement model the further movement value.

3. The method of claim 1 , further comprising:
ascertaining a future location of the road user using a current item of positional information of the road user, a most recently read in one of the plurality of movement vectors, and the movement model.

4. The method of claim 3 , further comprising:
providing the future location for at least one further road user located in a surrounding area.

5. The method of claim 4 , wherein the providing includes supplying a signature of the road user in order to make the road user identifiable to the further road user.

6. The method of claim 1 , further comprising:
providing at least one of the movement model and a most recently read in one of the plurality of movement vectors for at least one further road user located in a surrounding area.

7. The method of claim 6 , wherein the providing includes supplying a signature of the road user to make the road user identifiable to the further road user.

8. The method of claim 1 , the reading in of the movement vectors includes reading a spatial acceleration and a spatial yaw rate of the road user.

9. The method of claim 1 , wherein a Rotman lens is situated in a vehicle to provide a multiple-beam antenna featuring different angle orientations with a suitable amplification and an ultra-wideband capability.

10. The method of claim 1 , wherein a plurality of Rotman lenses are used to provide a complementary positioning method by an angle of arrival (AOA) or a time of arrival (TOA).

11. The method of claim 1 , wherein data is communicated between the road user and the processing circuitry using at least two difference frequency bands, wherein a first frequency in a narrowband is used in a permanent mode for exchanging information or ascertaining a rough position, and wherein a second frequency in an ultra-broadband is used in a pulse mode to ascertain accurate position information.

12. An apparatus for setting up a movement model of a road user for a transition from running to walking or standing or vice versa, the apparatus having the following features:
a data storage arrangement; and processing circuity;
wherein the processing circuitry is configured to perform the following:
at each of a plurality of moments over a period of time, read in a respective current movement vector of the road user, thereby obtaining a plurality of movement vectors;
store the obtained plurality of movement vectors in the data storage arrangement: use the plurality of movement vectors to obtain a characteristic movement value of the road user for the period of time; and ascertain the movement model using the movement value;
wherein as the characteristic movement value, an average acceleration for at least one characteristic movement sequence of the road user and speeds typical for this are ascertained continuously over a longer time period to prepare the movement model that is valid for the road user, and wherein the characteristic movement sequence represents the transition from running to walking or standing or vice versa.

13. The apparatus of claim 12 , wherein the processing circuitry is further configured to perform the following:
repeating the reading in and the using to obtain a further movement value for a further period of time; and
updating the movement model the further movement value.

14. The apparatus of claim 12 , wherein the processing circuitry is further configured to perform the following:
ascertaining a future location of the road user using a current item of positional information of the road user, a most recently read in one of the plurality of movement vectors, and the movement model.

15. The apparatus of claim 14 , wherein the processing circuitry is further configured to perform the following:
providing the future location for at least one further road user located in a surrounding area.

16. The apparatus of claim 15 , wherein the providing includes supplying a signature of the road user in order to make the road user identifiable to the further road user.

17. The apparatus of claim 12 , wherein the processing circuitry is further configured to perform the following:
providing at least one of the movement model and a most recently read in one of the plurality of movement vectors for at least one further road user located in a surrounding area.

18. The apparatus of claim 17 , wherein the providing includes supplying a signature of the road user to make the road user identifiable to the further road user.

19. The apparatus of claim 12 , the reading in of the movement vectors includes reading a spatial acceleration and a spatial yaw rate of the road user.

20. The apparatus of claim 12 , wherein a Rotman lens is situated in a vehicle to provide a multiple-beam antenna featuring different angle orientations with a suitable amplification and an ultra-wideband capability.

21. The apparatus of claim 12 , wherein a plurality of Rotman lenses are used to provide a complementary positioning method by an angle of arrival (AOA) or a time of arrival (TOA).

22. The apparatus of claim 12 , wherein data is communicated between the road user and the processing circuitry using at least two difference frequency bands, wherein a first frequency in a narrowband is used in a permanent mode for exchanging information or ascertaining a rough position, and wherein a second frequency in an ultra-broadband is used in a pulse mode to ascertain accurate position information.

23. A non-transitory computer-readable medium having a computer program, which is executable by a processor, comprising:
a program code arrangement having program code for setting up a movement model of a road user for a transition from running to walking or standing or vice versa, by performing the following:
reading in, at each of a plurality of moments over a period of time, a respective current movement vector of the road user, so as to obtain a plurality of movement vectors;
obtaining, via the processor, a characteristic movement value of the road user for the period of time using the plurality of movement vectors; and
ascertaining, via the processor, the movement model using the movement value;
wherein as the characteristic movement value, an average acceleration for at least one characteristic movemen

Assignees

• Bosch Gmbh Robert

Inventors

• Hernandez Alberto Ranninger
• Braeuchle Christian
• Flehmig Folko
• Granda Trigo Miguel Angel
• Galbas Roland
• Fernandez Hernandez Felipe

Classifications

• G08G1/163 Primary

  involving continuous checking · CPC title

• G08G1/005

  including pedestrian guidance indicator · CPC title