Driving action classifying apparatus and driving action classifying method

Patent metadata

Field	Value
Publication number	US-10460598-B2
Application number	US-201515300350-A
Country	US
Kind code	B2
Filing date	Apr 8, 2015
Priority date	Apr 10, 2014
Publication date	Oct 29, 2019
Grant date	Oct 29, 2019

Abstract

A driving action classifying apparatus has a driving-action-symbol acquiring unit configured to acquire position information on a vehicle and driving action symbols, which are data obtained by converting driving actions of the vehicle into symbols; and a tendency symbolizing unit configured to collect the driving action symbols corresponding to a same or similar place acquired from a plurality of vehicles and generate driving tendency symbols, which are data obtained by converting into a symbol a frequency distribution of the driving action symbols.

First claim

The invention claimed is:

1. A driving action classifying apparatus comprising:
a processor programmed to:
acquire position information on a vehicle and driving action symbols for the vehicle, the driving action symbols for the vehicle being data obtained by classifying information obtained from a plurality of sensors on the vehicle into a plurality of classes represented by first symbols; and
collect driving action symbols corresponding to a same or similar place acquired from a plurality of vehicles and generate driving tendency symbols, the driving tendency symbols being data obtained by converting into a second symbol a frequency distribution of driving action symbols including the driving action symbols for the vehicle and the driving action symbols from the plurality of vehicles.

2. The driving action classifying apparatus according to claim 1 , wherein the processor is programmed to:
acquire, from the vehicle including the plurality of sensors, sensor data and position information of the vehicle at a time when the sensor data is generated; and
generate, on the basis of the acquired sensor data, the driving action symbols for the vehicle, which are the data obtained by classifying the sensor data into the plurality of classes represented by the first symbols.

3. The driving action classifying apparatus according to claim 1 , wherein the processor is programmed to:
specify, on the basis of a change of the driving tendency symbols and position information corresponding to the driving tendency symbols, a place where a peculiar driving action has occurred.

4. The driving action classifying apparatus according to claim 3 , wherein the processor is programmed to:
when the driving tendency symbols locally change in a certain place, estimate that the peculiar driving action has occurred in the certain place.

5. The driving action classifying apparatus according to claim 1 , wherein the processor is programmed to:
specify, on the basis of a state of divergence between the acquired driving action symbols for the vehicle and the driving tendency symbols in places corresponding to the acquired driving action symbols for the vehicle, a place where a peculiar driving action has occurred.

6. The driving action classifying apparatus according to claim 3 , wherein the processor is programmed to:
acquire position information of a second vehicle different from the vehicle; and
transmit a notification to the second vehicle when the position information of the second vehicle relates to a position in a vicinity of the specified place where the peculiar driving action has occurred.

7. The driving action classifying apparatus according to claim 6 , wherein the processor is programmed to:
store additional information associated with the driving tendency symbols; and
transmit, together with the notification, the additional information associated with the driving tendency symbols to the second vehicle.

8. The driving action classifying apparatus according to claim 1 , wherein the processor is programmed to:
classify the position information into a plurality of segments and acquire the driving action symbols for the vehicle for each of the segments; and
generate the driving tendency symbols for each of the segments.

9. The driving action classifying apparatus according to claim 1 , wherein the processor is programmed to:
associate attributes concerning situations during vehicle traveling with the acquired driving action symbols for the vehicle; and
generate the driving tendency symbols, using respective ones of the driving action symbols for the vehicle and the driving actions symbols from the plurality of vehicles, the respective ones being associated with attributes designated by a user.

10. The driving action classifying apparatus according to claim 9 , wherein the attributes concerning the situations during the vehicle traveling are periods of time when the vehicle travels.

11. The driving action classifying apparatus according to claim 9 , wherein the attributes concerning the situations during the vehicle traveling are attributes of a driver who drives the vehicle.

12. The driving action classifying apparatus according to claim 2 , wherein:
the sensor data includes a plurality of data generated by the plurality of sensors; and
the processor is programmed to cluster the plurality of data to generate the driving action symbols for the vehicle.

13. The driving action classifying apparatus according to claim 12 , wherein the sensor data is at least one of speed, acceleration, a steering angle, and a yaw rate.

14. A driving action classifying method performed by a driving action classifying apparatus that classifies driving actions of a driver, the driving action classifying method comprising:
a driving-action-symbol acquiring step for acquiring position information on a vehicle and driving action symbols for the vehicle, the driving action symbols for the vehicle being data obtained by classifying information obtained from a plurality of sensors on the vehicle into a plurality of classes represented by first symbols; and
a tendency symbolizing step for collecting driving action symbols corresponding to a same or similar place acquired from a plurality of vehicles and generating driving tendency symbols, the driving tendency symbols being data obtained by converting into a second symbol a frequency distribution of driving action symbols including the driving action symbols for the vehicle and the driving action symbols from the plurality of vehicles.

15. A vehicle-mounted terminal mounted on a vehicle including a plurality of sensors, the vehicle-mounted terminal comprising:
a processor programmed to:
acquire sensor data from the plurality of sensors;
generate, on the basis of the acquired sensor data, driving action symbols for the vehicle, which are data obtained by classifying the sensor data into a plurality of classes represented by first symbols; and
acquire position information on the vehicle; and
transmit the position information and the driving action symbols for the vehicle to a driving action classifying apparatus comprising a second processor programmed to:
acquire the position information on the vehicle and the driving action symbols for the vehicle from the vehicle-mounted terminal; and
collect driving action symbols corresponding to a same or similar place acquired from a plurality of vehicles and generate driving tendency symbols, the driving tendency symbols being data obtained by converting into a second symbol a frequency distribution of driving action symbols including the driving action symbols for the vehicle and the driving action symbols from the plurality of vehicles.

16. The vehicle-mounted terminal according to claim 15 , wherein:
the sensor data includes a plurality of data generated by the plurality of sensors; and
the processor is programmed to cluster the plurality of data to generate the driving action symbols for the vehicle.

17. The vehicle-mounted terminal according to claim 16 , wherein the sensor data is at least one of speed, acceleration, a steering angle, and a yaw rate.

Assignees

• Toyota Motor Co Ltd

Inventors

• Kashiwakura Toshiki
• Tanaka Yusuke
• Sannomiya Chihiro
• Kurihara Keisuke
• Kashiwai Tadahiro
• Neyama Ryo

Classifications

• G08G1/096741

  where the source of the transmitted information selects which information to transmit to each vehicle · CPC title

• G08G1/096775

  where the origin of the information is a central station · CPC title

• G08G1/0133

  for classifying traffic situation · CPC title

• G08G1/096716

  where the received information does not generate an automatic action on the vehicle control · CPC title

• G08G1/0112 Primary

  from the vehicle, e.g. floating car data [FCD] · CPC title