METHOD AND APPARATUS OF OBTAINING FEATURE INFORMTOIN OF SIMULATED AGENTS

• US 20170371985A1
• Filed: 09/26/2016
• Published: 12/28/2017
• Est. Priority Date: 06/22/2016
• Status: Active Grant

• Current Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Original Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Inventors: YANG, Wenli, ZHANG, Tianlei, PAN, Yuchang, SUN, Haowen
• Granted Patent: US 10,417,358 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

The present invention discloses a method and apparatus of obtaining feature information of a simulated agent. The method further comprises: for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities, the number of real agents belonging to each class being greater than one; for each agent class, extracting representative feature information from feature information of each real agent belonging to the class, and taking the extracted feature information as feature information of simulated agents belonging to this class. The solution of the present invention may be applied to improve correctness of testing results of unmanned vehicles.

Claims

1. A method of obtaining feature information of a simulated agent, wherein the method comprises:

for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities, the number of real agents belonging to each class being greater than one;

for each agent class, respectively extracting representative feature information from feature information of each real agent belonging to the class, and taking the extracted feature information as feature information of simulated agents belonging to this class.

2. The method according to claim 1, wherein,

the real agents comprise real agents dedicated for testing;

the feature information comprise attribute information and behavior information.

3. The method according to claim 2, wherein,

the obtaining behavior information of each real agent respectively comprises:

during an activity of each real agent, obtaining dynamic tracking information of the real agent in real time;

after the activity of each real agent ends up, determining behavior information of the real agent by performing analysis of dynamic tracking information of the real agent.

4. The method according to claim 3, wherein,

the behavior information comprises:

action behaviors occurring during the activity and trigger conditions of various action behaviors.

5. The method according to claim 2, wherein,

the attribute information comprises:

class, length, width, height.

6. The method according to claim 1, wherein,

the method further comprises:

performing playback of the simulated agent according to the user-selected feature information;

during playback, if the user'"'"'s modification instruction for unreasonable feature information is received, modifying the information according to the modification instruction.

7. An apparatus for obtaining feature information of a simulated agent, the apparatus comprising:

at least one processor; and

a memory storing instructions, which when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising;

for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities, the number of real agents belonging to each class being greater than one;

for each agent class, respectively extracting representative feature information from feature information of each real agent belonging to the class, and taking the extracted feature information as feature information of simulated agents belonging to this class.

8. The apparatus according to claim 7, wherein,

the real agents comprise real agents dedicated for testing;

the feature information comprise attribute information and behavior information.

9. The apparatus according to claim 8, wherein,

the operation of obtaining behavior information of each real agent respectively comprises:

during an activity of each real agent, obtaining dynamic tracking information of the real agent in real time;

after the activity of each real agent ends up, determining behavior information of the real agent by performing analysis of dynamic tracking information of the real agent.

10. The apparatus according to claim 9, wherein,

the behavior information comprises:

action behaviors occurring during the activity and trigger conditions of various action behaviors.

11. The apparatus according to claim 8, wherein,

the attribute information comprises:

class, length, width, height.

12. The apparatus according to claim 7, wherein,

the operations further comprise:

performing playback of the simulated agent according to the user-selected feature information;

during playback, if the user'"'"'s modification instruction for unreasonable feature information is received, modifying the information according to the modification instruction.

13. A computer storage medium, wherein the computer storage medium is coded with a computer program, and when the program is executed by one or more computers, the one or more computers perform the following operations:

for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities, the number of real agents belonging to each class being greater than one;

for each agent class, respectively extracting representative feature information from feature information of each real agent belonging to the class, and taking the extracted feature information as feature information of simulated agents belonging to this class.