Method and system for post-collision manoeuvre planning and vehicle equipped with such system

• US 9,566,981 B2
• Filed: 07/21/2015
• Issued: 02/14/2017
• Est. Priority Date: 09/01/2014
• Status: Active Grant

• Current Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Original Assignee: Honda Research Institute Europe GmbH (Honda Motor Company)
• Inventors: Rebhan, Sven, Kastner, Robert
• Primary Examiner(s): Badii, Behrang
• Assistant Examiner(s): TESTARDI, DAVID A
• Application Number:
  US14/804,661
• Publication Number:
  US 20160059855A1
• Time in Patent Office: 574 Days
• US Class Current: 1/1
• CPC Class Codes: B60R 2021/0027 Post collision measures, e.g. notifying emergency services
• CPC Class Codes: B60W 2030/082 Vehicle operation after collision
• CPC Class Codes: B60W 2554/80 Spatial relation or speed relative to objects
• CPC Class Codes: B60W 2710/20 Steering systems
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• CPC Class Codes: B60W 30/095 Predicting travel path or likelihood of collision
• CPC Class Codes: B60W 30/0953 the prediction being responsive to vehicle dynamic parameters
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters

Abstract

A method predicts trajectories of traffic objects to avoid collisions. The method estimates the probability for at least two traffic objects to collide, and predicts a potential movement of the traffic objects presumably involved in the collision after the collision. This information about a potential movement of the traffic objects can be used to plan a suitable trajectory path of an evasion maneuver for a host-vehicle employing the method. A system detects the collision situation and applies crash situation models to predict the future dynamic properties of other traffic objects that collide or are about to collide with each other. The method and system applies specific crash models like collision models, models derived from crash simulations and tests or models of human reactions in emergency situations.

Claims

1. A method for assisting a driver of a host vehicle, the host vehicle comprising a data acquisition means and a processing means, the method comprising steps of:

acquiring data describing a traffic environment by the data acquisition means; and

processing, with the processing means, the data describing the traffic environment to generate crash determination information indicating a probability of a crash in the traffic environment;

determining, based on the crash determination information, whether a crash situation involving at least one target object will occur, wherein the at least one target object is a traffic participant;

when occurrence of the crash situation is determined, predicting movement behavior after the crash of the at least one target object based on the data describing the traffic environment by applying at least one crash situation model;

predicting further movement behavior of at least one further target object not involved in the crash situation based on the data describing the traffic environment by applying at least one traffic situation model;

generating prediction information based on the predicted movement behavior of the at least one target object and the further movement behavior of the at least one further target object;

generating an actuation signal based on the prediction information, and

controlling an actuator for presenting information to a driver of the host vehicle or controlling the host vehicle based on the actuation signal.

2. The method according to claim 1, wherein

at least one possible future movement trajectory of the host vehicle is calculated, and

wherein the at least one possible future movement trajectory is calculated based on the prediction information.

3. The method according to claim 1, wherein

the at least one crash situation model comprises at least one physical collision model.

4. The method according to claim 1, wherein

the crash situation model is a model derived from crash test results.

5. The method according to claim 4, further comprising

estimating the mass of objects involved in the crash.

6. The method according to claim 1, wherein

the data acquisition means is configured to determine a state of the at least one target object or to determine a state of a road.

7. The method according to claim 1, wherein

the step of controlling an actuator controls the host vehicle in a lateral direction with respect to the host vehicle'"'"'s driving direction, and/or

recommends an evasion trajectory to a driver of the host vehicle, and/or

prepares passive safety equipment in case own involvement in the crash is determined to be unavoidable.

8. The method according to claim 1, wherein

the step of controlling an actuator controls the host vehicle in the lateral direction with respect to the host vehicle'"'"'s driving direction, and

the host vehicle is controlled by controlling an electrical power steering and/or by accelerating or decelerating at least one wheel of the host vehicle.

9. A system for assisting a driver of a host vehicle, the system comprising:

data acquisition means configured to acquire data describing a traffic environment; and

a processing means is configured to process the data describing the traffic environment to generate crash determination information indicating a probability of a crash in the traffic environment, wherein the processing means comprises

a crash detection module configured to determine based on the crash determination information whether a crash situation involving at least one target object will occur, wherein the target object is a traffic participant;

a crash trajectory prediction module configured to predict movement behavior of the at least one target object after a crash based on the data describing the traffic environment by applying at least one crash situation model; and

a non-crash trajectory prediction module configured to, when the crash situation is determined, predict further movement behavior of at least one further target object not involved in the crash situation based on the data describing the traffic environment by applying at least one traffic situation model;

wherein the processing means is configured to generate prediction information based on the predicted movement behavior of the target object and the predicted further movement behavior of the further target object, and

the system further comprises an actuation processing module configured to generate an actuation signal based on the prediction information, and to control an actuator for presenting information to a driver of the host vehicle or controlling the host vehicle based on the actuation signal.

10. The system for assisting a driver of a host vehicle according to claim 9, wherein

the processing means further comprises a host vehicle evasion trajectory planning module configured to calculate based on the prediction information at least one future movement trajectory of the host vehicle.

11. The system for assisting a driver of a host vehicle according to claim 9, wherein

the crash trajectory prediction module is configured to process the data describing the traffic environment based on at least one crash situation model applying at least one physical collision model.

12. The system for assisting a driver of a host vehicle according to claim 9, wherein

the crash situation model is derived from crash test results.

13. The system for assisting a driver of a host vehicle according to claim 9, wherein

the processing means is configured to estimate the mass of objects involved in the crash.

14. The system for assisting a driver of a host vehicle according to claim 9, wherein

the data acquisition means is configured to determine a state of the at least one target object or to determine a state of a road.

15. The system for assisting a driver of a host vehicle according to claim 9, wherein

the actuation signal controls an actuator configured to control the host vehicle in a lateral direction with respect to the vehicle'"'"'s driving direction, or

to recommend an evasion trajectory to a driver of the host vehicle, or

to prepare passive safety equipment of the vehicle in case involvement into the crash is determined to be unavoidable.

16. The system for assisting a driver of a host vehicle according to claim 15, wherein

the actuation processing module is configured to control the host vehicle in the lateral direction by controlling an electrical power steering or by accelerating or decelerating at least one wheel of the host vehicle.

17. A vehicle including a driver assistance system according to claim 9, wherein

the driver assistance system is configured to influence control of the host vehicle based on output signals of the driver assistance system.

18. A computer program, embodied on a non-transitory computer-readable medium, the computer program, when executed by a processor, causes the processor to:

acquire data describing a traffic environment by a data acquisition means;

process the data describing the traffic environment to generate crash determination information indicating a probability of a crash in the traffic environment;

determine, based on the crash determination information, whether a crash situation involving at least one target object will occur, wherein the at least one target object is a traffic participant;

when occurrence of the crash situation is determined, predict movement behavior after the crash of the at least one target object based on the data describing the traffic environment by applying at least one crash situation model;

predict further movement behavior of at least one further target object not involved in the crash situation based on the data describing the traffic environment by applying at least one traffic situation model;

generate prediction information based on the predicted movement behavior of the at least one target object and the further movement behavior of the at least one further target object;

generate an actuation signal based on the prediction information, and

control an actuator for presenting information to a driver of a host vehicle or controlling the host vehicle based on the actuation signal.