SYSTEM FOR PREDICTING DRIVER BEHAVIOR

• US 20080167820A1
• Filed: 01/03/2008
• Published: 07/10/2008
• Est. Priority Date: 01/04/2007
• Status: Abandoned Application

• Current Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation)
• Original Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation)
• Inventors: Weir, David, Oguchi, Kentaro
• Application Number:
  US11/968,864
• Publication Number:
  US 20080167820A1
• Time in Patent Office: Days
• US Class Current: 701/301
• CPC Class Codes: B60W 2050/0029 Mathematical model of the driver
• CPC Class Codes: B60W 2050/0057 Frequency analysis, spectral techniques or transforms
• CPC Class Codes: B60W 2050/143 Alarm means
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2540/30 Driving style
• 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 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/16 Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
• CPC Class Codes: B60W 30/18163 Lane change; Overtaking manoeuvres
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 40/107 Longitudinal acceleration
• CPC Class Codes: B60W 50/12 Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection

Abstract

A system and method for predicting driver behavior and generating control and/or warning signals comprises: one or more sensors; a database; a driver predictor for generating warning and control signals; a notification unit; and a vehicle control unit. More specifically, the driver predictor includes a transfer module, a hierarchical temporal memory and a prediction retrieval module. The transfer module is used to receive data and translate it into a form so that it can be stored in the hierarchical temporal memory. The hierarchical temporal memory receives data input and stores it such that data items are translated into short-term memory items which are in turn translated into intermediate-term data which in turn are finally translated into long-term data. The translation of data from one level of the memory to another is performed according to the present invention such that the data at each level of memory is reflective of and predictive of a particular driver behavior. Once the data is stored in the memory, the prediction retrieval module accesses the hierarchical temporal memory to generate warning signals to alert the driver of potentially dangerous conditions and/or control systems of the vehicle to prevent or avoid collisions. The present invention also includes a variety of method including a method for storing driving data in a hierarchical temporal memory, and a method for using a hierarchical temporal memory to generate collision avoidance signals.

Claims

1. A system for predicting behavior of other vehicles, the system comprising:

a sensor for sensing a condition, the sensor having an output for outputting signals representing different conditions;

a driver predictor for receiving information and maintaining a hierarchal temporal memory structure indicative of a current vehicle condition relative to the other vehicles, the driver predictor having an input and an output, the input of the driver predictor coupled to the output of the sensor, the driver predictor receiving signals from the sensor and converting them to data for storage in the hierarchal temporal memory structure; and

an output unit for generating an output signal related to the current vehicle condition, the output unit having an input and an output, the input of the output unit coupled to the driver predictor.

2. The system of claim 1 further comprising a database for providing historical information to initialize and update the driver predictor, the database adapted for communication with the driver predictor.

3. The system of claim 1 wherein the output unit is a notification unit and the output signal is a notification signal to warn of an imminent collision condition.

4. The system of claim 1 wherein the output unit is a vehicle control unit and the output signal is a control signal to control operation of the vehicle to avoid the imminent collision.

5. An apparatus for predicting behavior of other vehicles, the apparatus comprising:

a transfer module for processing data for storage, the transfer module having an input and an output, the input of the transfer module coupled to receive data;

a hierarchal temporal memory having an input and output for storing a hierarchical temporal model indicative of a current state of a vehicle and other vehicles proximate the vehicle, the input of the hierarchal temporal memory coupled to the output of the transfer module; and

a prediction retrieval module having an input and output for accessing and retrieving information from the hierarchical temporal memory, the input of the prediction retrieval module coupled to the output of the hierarchical temporal memory, the prediction retrieval module generating a signal for warning a driver or controlling the vehicle.

6. The apparatus of claim 5 wherein the transfer module receives real-time data, process the real-time data translates it into a form usable by the hierarchical temporal memory.

7. The apparatus of claim 5 further comprising an initialization module for retrieving data and providing the data to the hierarchal temporal memory for initializing the hierarchal temporal memory, the input of the initialization module coupled to retrieve historical information and the output of the initialization module coupled to input of the hierarchal temporal memory.

8. The apparatus of claim 5 wherein the hierarchal temporal memory includes a plurality of levels.

9. The apparatus of claim 5 wherein the hierarchal temporal memory further comprises:

a short term storage for storing short paths, the short term storage having an input and an output, the input of the short term storage couple to the output of the transfer module;

an intermediate term storage for storing trajectory types, the intermediate term storage having an input and an output, the input of the intermediate term storage coupled to the output of the short term memory; and

a long term storage for storing behavior types, the long term storage having an input and an output, the input of the long term storage coupled to the output of the intermediate term memory.

10. The apparatus of claim 9 wherein the hierarchal temporal memory further comprises:

an intermediate-to-long-term converter for converting one or more trajectory types to a behavior type, the intermediate-to-long-term converter having an input and an output, the input of the intermediate-to-long-term converter coupled to the intermediate term storage and the output of the intermediate-to-long-term converter coupled to the long term storage; and

a short-to-intermediate-term converter for converting one or more short paths into trajectory types, the short-to-intermediate-term converter having an input and an output, the input of the short-to-intermediate-term converter coupled to the short term storage, the output of the short-to-intermediate-term converter coupled to the intermediate term storage.

11. The apparatus of claim 5 wherein the prediction retrieval module further comprises a warning control module for generating a warning signal, the warning control module having an input and an output, the input of the warning control module coupled to the output of the hierarchal temporal memory, the warning control module querying the hierarchical temporal memory to determine whether there is stored information that matches a corresponding set of conditions that warrant notification.

12. The apparatus of claim 5 wherein the prediction retrieval module further comprises a collision control module for generating a control signal to control a primary vehicle to avoid a collision with other vehicles, the collision control module having an input and an output, the input of the collision control module coupled to the output of the hierarchal temporal memory, the collision control module querying the hierarchical temporal memory to determine whether there is stored information that matches a corresponding set of conditions that warrant output of the control signal.

13. The apparatus of claim 5 wherein the prediction retrieval module further comprises an acceleration control module for providing a control signal to an adaptive cruise control module, the acceleration control module having an input and an output, the input of the acceleration control module coupled to the output of the hierarchal temporal memory, the acceleration control module querying the hierarchical temporal memory to determine whether there is stored information that matches a corresponding set of conditions that warrant output of the control signal.

14. A method for creating an hierarchal temporal memory for use in prediction of collisions of vehicles, the method comprising:

receiving vehicle information;

processing the received information;

storing the processed information in a first level of the hierarchical temporal memory; and

processing information of the first level of the hierarchical temporal memory to generate data for storage in a second level of the hierarchical temporal memory.

15. The method of claim 14, the method further comprising repeating the step of receiving, processing and storing after a predetermined interval of time.

16. The method of claim 14, the method further comprising:

receiving historical vehicle behavior information; and

initializing the hierarchical temporal memory with the historical vehicle behavior information.

17. A method for predicting behavior of other vehicles using a hierarchal temporal memory, the method comprising:

providing access to the hierarchal temporal memory;

retrieving data from the hierarchal temporal memory;

analyzing the retrieved data for a match with an associated set; and

outputting a signal if there is a match between the retrieved data and the associated set.

18. The method of claim 17 wherein the step of analyzing compares data from a plurality of levels of the hierarchal temporal memory to corresponding levels in the data set.

19. The method of claim 17 wherein the associated set is one from the group of an warning set, collision set and adjustment set.

20. The method of claim 17 wherein the signal is one from the group of a warning signal and a control signal