Method for modelling a navigation environment of a motor vehicle

Patent metadata

Field	Value
Publication number	US-2025284287-A1
Application number	US-202218684978-A
Country	US
Kind code	A1
Filing date	Jul 25, 2022
Priority date	Aug 25, 2021
Publication date	Sep 11, 2025
Grant date	—

Abstract

A method models a navigation environment of a vehicle equipped with environment perception structure, with a decision module, and with an autonomous controller for autonomously controlling the vehicle. The method includes defining a global environment model of the vehicle as being a structured set of information constructed from data supplied by the environment perception structure, and receiving, from the decision module, a request for information relating to a decision to be taken to control the vehicle by way of the autonomous controller.

First claim

1 - 10 . (canceled)

11 . A method for modeling a navigation environment of a vehicle equipped with environment perception means, a decision-making module, and autonomous control means for autonomously controlling the vehicle, the method comprising:
defining an overall environmental model of the vehicle as being a set of structured information constructed from data provided by the environment perception means; receiving a request for information relating to a decision to be taken for controlling the vehicle by the autonomous control means, the request being transmitted by the decision-making module; determining, from among the set of structured information defining the environmental model, a selection of information to be consulted in order to take said decision; consulting the information from said selection from the overall environmental model; determining an integrity index associated with each item of information of said selection; and providing said decision-making module with a selective environmental model containing the information from said selection and the corresponding integrity indices.

12 . The method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 , further comprising:
acquiring at least one first item of information from said selection of information using first environment perception means and using second environment perception means, wherein the integrity index associated with said at least one first item of information is determined as a function of the consistency between data provided by the first perception means and the second perception means.

13 . The method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 , further comprising:
acquiring at least one second item of information from said selection of information using an environment perception means at a first instant and at a second instant after the first instant, wherein the integrity index associated with said at least one second item of information is determined as a function of the consistency between the data provided by the perception means at the first instant and at the second instant.

14 . The method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 , wherein the decision to be taken comprises a given action to be applied by the autonomous vehicle on a given deadline, with the given deadline being short-term, medium-term, or long-term,
wherein, for the same given action, the determining the selection of information determines: a first selection of information to be consulted when the given deadline is short-term; or a second selection of information to be consulted when the given deadline is medium-term; or a third selection of information to be consulted when the given deadline is long-term, wherein the first, second, and third selections differ from each other.

15 . The method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 , further comprising:
providing said decision-making module with a selective environmental model comprising a set of information characterizing the situation of the vehicle after applying the decision to be taken.

16 . The method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 , further comprising:
configuring a finite list of decisions taken into account by the method; configuring a selection of information to be consulted for each decision of the finite list of decisions, and configuring the order in which said information must be consulted; and configuring at least one method for consulting each item of information to be consulted.

17 . A device for modeling a navigation environment of an autonomous vehicle, the autonomous vehicle being equipped with an autonomous control means, the device comprising hardware and/or software elements configured to implement the method for modeling a navigation environment of an autonomous vehicle as claimed in claim 11 .

18 . A non-transitory computer-readable data storage medium, which stores a computer program that, when executed by a computer, causes the computer to execute the method as claimed in claim 11 .

Assignees

• Renault Sas

Inventors

• Armand Alexandre
• Ibanez-Guzman Javier

Classifications

• B60W60/001

  Planning or execution of driving tasks · CPC title

• G05D2109/10

  Land vehicles · CPC title

• G05D2101/10

  using artificial intelligence [AI] techniques · CPC title

• G06V20/56

  exterior to a vehicle by using sensors mounted on the vehicle · CPC title

• B60W40/00

  Estimation or calculation of {non-directly measurable} driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, {e.g. by using mathematical models} · CPC title