Method for determining a trajectory for controlling a vehicle

Patent metadata

Field	Value
Publication number	US-12485909-B2
Application number	US-202118006005-A
Country	US
Kind code	B2
Filing date	Jul 21, 2021
Priority date	Jul 22, 2020
Publication date	Dec 2, 2025
Grant date	Dec 2, 2025

Abstract

A method includes receiving sensor data which have been generated by a sensor system, in a control module of a vehicle computer; inputting the sensor data into a safety algorithm to detect safety-relevant objects; inputting the sensor data into a comfort algorithm to detect comfort-relevant objects; estimating future states of the objects using an environment model which represents the environment of the vehicle and in which the objects are stored and tracked over time; calculating a safety trajectory taking into account safety rules and a comfort trajectory taking into account comfort rules based on the estimated future states of the detected objects; using the comfort trajectory to control the vehicle if the comfort trajectory satisfies the safety rules; and using the safety trajectory to control the vehicle if the comfort trajectory does not satisfy the safety rules.

First claim

The invention claimed is:

1 . A computer-implemented method for determining a trajectory for controlling a vehicle, the vehicle being equipped with a sensor system configured to sense an environment of the vehicle and with a vehicle computer configured to process sensor data and control the vehicle, the method comprising:
receiving sensor data, generated by the sensor system, in a control module of the vehicle computer; inputting the sensor data into a safety algorithm configured to detect safety-relevant objects based on the sensor data; inputting the sensor data into a comfort algorithm configured to detect comfort-relevant objects based on the sensor data, the comfort algorithm different from the safety algorithm, and the safety-relevant objects different from the comfort-relevant objects; estimating future states of the detected safety-relevant objects using an environment model representing the environment of the vehicle; estimating future states of the detected comfort-relevant objects using the environment model; storing and tracking the detected safety-relevant objects and the comfort-relevant objects over time in the environment model; applying safety rules to the environment model to calculate a safety trajectory based on the estimated future states of the detected safety-relevant objects; applying comfort rules to the environment model to calculate a comfort trajectory based on the estimated future states of the detected comfort-relevant objects, the comfort rules different from the safety rules, and the comfort trajectory different from the safety trajectory; checking whether the calculated comfort trajectory satisfies the safety rules; using the calculated comfort trajectory to control the vehicle when the calculated comfort trajectory satisfies the safety rules and the comfort rules; and using the calculated safety trajectory to control the vehicle when the calculated comfort trajectory does not satisfy the safety rules.

2 . The method according to claim 1 , wherein:
further outputs of the safety algorithm are input into the comfort algorithm; and the comfort algorithm is configured to detect the comfort-relevant objects further based on the outputs of the safety algorithm.

3 . The method according to claim 1 , wherein the comfort algorithm has been trained by machine learning to detect at least one of the comfort-relevant objects and the safety-relevant objects based on the sensor data.

4 . The method according to claim 3 , wherein the comfort algorithm is based on an artificial neural network.

5 . The method according to claim 1 , wherein:
a further safety trajectory, configured to transfer the vehicle into a safe state, is calculated based on further safety rules based on the estimated future states of the detected safety-relevant objects and the comfort-relevant objects; and the further safety trajectory is used to control the vehicle when the calculating of the safety trajectory fails.

6 . The method according to claim 1 , further comprising:
receiving the sensor data in a further control module of the vehicle computer, the further control module being supplied with electrical power independently of the control module; inputting the sensor data into the safety algorithm using the further control module; estimating, using the further control module, further future states of the detected safety-relevant objects and comfort-relevant objects using the environment model; calculating, using the further control module, a further safety trajectory for transferring the vehicle into a safe state taking into account further safety rules based on the estimated further future states of the detected safety-relevant objects and comfort-relevant objects; checking, using the further control module, whether the control module is operational; and using the further safety trajectory to control the vehicle using the further control module in response to the control module not being operational.

7 . The method according to claim 1 , wherein the method is performed by a computer program comprising instructions that are executed by the vehicle computer.

8 . The method according to claim 7 , wherein the computer program is stored on a non-transitory computer-readable medium.

9 . The method according to claim 1 , wherein:
the detected comfort-relevant objects include a puddle, and the detected safety-relevant objects include a vehicle and a road marking.

10 . The method according to claim 9 , wherein:
the calculated comfort trajectory circumvents the puddle, and the calculated safety trajectory passes through the puddle.

11 . The method according to claim 10 , wherein:
the vehicle will meet an oncoming vehicle while circumventing the puddle and, therefore, the calculated comfort trajectory is determined not to satisfy the safety rules.

12 . The method according to claim 1 , wherein:
the safety rules include a first specified distance, a first specified orientation, and/or a first specified relative speed of the vehicle with respect to the detected safety-relevant objects; and the comfort rules include a second specified distance, a second specified orientation, and/or a second specified relative speed of the vehicle with respect to the detected comfort-relevant objects.

13 . A vehicle computer for determining a trajectory for controlling a vehicle, the vehicle computer being configured to:
receive sensor data generated by a sensor system of the vehicle; input the sensor data into a safety algorithm configured to detect safety-relevant objects based on the sensor data; input the sensor data into a comfort algorithm configured to detect comfort-relevant objects based on the sensor data, the comfort algorithm different from the safety algorithm, and the safety-relevant objects different from the comfort-relevant objects; estimate future states of the detected safety-relevant objects using an environment model representing an environment of the vehicle; estimate future states of the detected comfort-relevant objects using the environment model; store and track the detected safety-relevant objects and the comfort-relevant objects over time in the environment model; apply safety rules to the environment model to calculate a safety trajectory based on the estimated future states of the detected safety-relevant objects; apply comfort rules to the environment model to calculate a comfort trajectory based on the estimated future states of the detected comfort-relevant objects, the comfort rules different from the safety rules, and the comfort trajectory different from the safety trajectory; check whether the calculated comfort trajectory satisfies the safety rules; use the calculated comfort trajectory to control the vehicle in response to the calculated comfort trajectory satisfying the safety rules; and use the calculated safety trajectory to control the vehicle in response to the calculated comfort trajectory not satisfying the safety rules.

14 . The vehicle computer according to claim 13 comprising:
a control module configured to (i) receive the sensor data, (ii) input the sensor data into the safety algorithm, (iii) input the sensor data into the comfort algorithm, (iv) estimate the future states, (v) calculate the safety trajectory, (vi) check whether the comfort trajectory satisfies the safety rules, (vii) use the comfort trajectory to control the vehicle, and (viii) use the safety trajectory to control the vehicle; and
at least one further control module supplied with electrical power independently of the control module, the at least one further control module

Assignees

• Bosch Gmbh Robert

Inventors

• Sautter Peter
• Mayer Georg
• Kersken Ulrich
• Flehmig Folko
• Connette Christian

Classifications

• B60W2050/0292

  Fail-safe or redundant systems, e.g. limp-home or backup systems · CPC title

• B60W50/0097

  Predicting future conditions · CPC title

• B60W2556/50

  of positioning data, e.g. GPS [Global Positioning System] data · CPC title

• B60W2554/4041

  Position · CPC title

• B60W2554/4029

  Pedestrians · CPC title