Driving assistance system and driving assistance method

• US 10,161,754 B2
• Filed: 07/16/2013
• Issued: 12/25/2018
• Est. Priority Date: 07/17/2012
• Status: Active Grant

• Current Assignee: Nissan Motor Co., Ltd., University of Tokyo
• Original Assignee: Nissan Motor Co., Ltd., University of Tokyo
• Inventors: Matsushita, Akihiro, Sunda, Takashi, Nakamura, Yoshihiko, Takano, Wataru, Hashimoto, Jun
• Primary Examiner(s): Smith, Jelani A
• Assistant Examiner(s): Castro, Paul A
• Application Number:
  US14/415,162
• Publication Number:
  US 20150211868A1
• Time in Patent Office: 1,988 Days
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2540/00 Input parameters relating to occupants
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/55 using telemetry
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: G01C 21/3638 including 3D objects and buildings three dimensional [3D] modelling, e.g. data description of 3D objects G06T17/00; geographic models G06T17/05
• CPC Class Codes: G01C 21/3841 Data obtained from two or more sources, e.g. probe vehicles
• CPC Class Codes: G01C 21/3848 Data obtained from both position sensors and additional sensors
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G09B 29/106 using electronic means

Abstract

A driving assistance system has a driving information acquisition unit that acquires any of an amount of operations by a driver, a vehicle behavior, a state of the driver, and information regarding the environment surrounding a vehicle as driving information, a vehicle location information acquisition unit that acquires vehicle location information, a statistical information generation unit that generates statistical information by statistically processing the driving information as a time-series pattern, an information associating unit that associates the statistical information with the vehicle location information at the time of the acquisition of the driving information, an information reference unit that references and reads the statistical information based on the location information acquired by the vehicle location information acquisition unit, a driving assistance unit that performs driving assistance based on the statistical information read by the information reference unit, and a communication unit.

Claims

1. A driving assistance system comprising:

a computer programmed to;

acquire operations by a driver, a vehicle behavior, a state of the driver, and information regarding an environment surrounding a vehicle as driving information from an in-vehicle network, an imaging device installed in front of a driver'"'"'s seat and a ranging sensor;

acquire vehicle location information from an in-vehicle navigation system;

generate statistical information by statistically processing the driving information as a time-series pattern;

calculate a transition probability from a temporally preceding driving information pattern to a temporally following driving information pattern, and generate map information by associating the statistical information and the transition probability with the vehicle location information at the time of the acquisition of the driving information;

reference and read the map information based on the transition probability and the location information;

perform driving assistance based on the map information; and

transceiver that transmits and receives information to and from a communication device outside the vehicle,

wherein the information acquired by the transceiver is provided as the driving information for using the information acquired by the transceiver as the driving information and generating the statistical information, and

wherein the computer generates a driving operation amount, that comprises at least one of a steering wheel amount, an accelerator amount, and a brake amount, from the statistical information and presents the driving operation amount to the driver.

2. The driving assistance system according to claim 1,

wherein the computer is further programmed to:

acquire more than one of the amount of operations by the driver, the vehicle behavior, the state of the driver, and the information regarding the environment surrounding the vehicle, and

associate the time-series patterns calculated using the driving information acquired by the computer, as the time-series pattern acquired in a same environment.

3. The driving assistance system according to claim 1, further comprising:

a map comprising sections,

wherein the computer is further programmed to divide the driving information for each section on the map, and calculate the time-series pattern for each section by using the driving information divided for each section.

4. The driving assistance system according to claim 1,

wherein the computer is further programmed to:

calculate the time-series pattern of the driving information regardless of sections on the map,

determine to which one of a plurality of preset time-series patterns the time-series pattern calculated by the computer corresponds, and

associate the driving information with the time-series pattern determined by the computer.

5. The driving assistance system according to claim 1,

wherein the computer is further programmed to:

provide attributes to the driving information acquired by the computer, and

statistically process the driving information as the time-series pattern, for each of the attributes provided by the computer.

6. The driving assistance system according to claim 1, wherein the computer is further programmed to combine the vehicle location information and the statistical information.

7. The driving assistance system according to claim 1, wherein the computer is further programmed to probabilistically predict a following time-series pattern of the driving information from the time-series pattern of the driving information.