IP Library Patent Application 16958650
Patent Application
App. No. 16/958,650

HIGH-PRECISION MAP-BASED HUMAN-MACHINE INTERACTION METHOD AND APPARATUS

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Patent No.
US None
App. No.
16/958,650
Abstract

Embodiments of the present disclosure provides a high-precision map-based human-machine interaction method and apparatus. A specific embodiment of the method includes: acquiring a pre-generated high-precision map; analyzing, in response to receiving an information addition request, the information addition request; and adding additional information indicated by the information addition request to the pre-generated high-precision map to generate an updated high-precision map.

Claims (32)

1 . A high-precision map-based human-machine interaction method, comprising:

acquiring a pre-generated high-precision map;

analyzing, in response to receiving an information addition request, the information addition request; and

adding additional information indicated by the information addition request to the pre-generated high-precision map to generate an updated high-precision map.

2 . The method according to claim 1 , further comprising:

presenting, in response to receiving a path addition request, a planned path indicated by the path addition request in the updated high-precision map.

3 . The method according to claim 1 , wherein analyzing, in response to receiving the information addition request, the information addition request comprises:

extracting semantic information of the information addition request; and

determining a map element indicated by the information addition request based on the semantic information.

4 . The method according to claim 3 , wherein adding the additional information indicated by the information addition request to the pre-generated high-precision map to generate the updated high-precision map comprises:

generating a three-dimensional model of the map element in the pre-generated high-precision map according to position information indicated by the information addition request.

5 . The method according to claim 2 , further comprising:

determining, in response to receiving a position query request, a map element corresponding to the position query request; and

showing the map element in the pre-generated high-precision map.

6 . A high-precision map-based human-machine interaction apparatus, comprising:

at least one processor; and

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

acquiring a pre-generated high-precision map;

analyzing, in response to receiving an information addition request, the information addition request; and

adding additional information indicated by the information addition request to the pre-generated high-precision map to generate an updated high-precision map.

7 . The apparatus according to claim 6 , wherein the operations further comprise:

presenting, in response to receiving a path addition request, a planned path indicated by the path addition request in the updated high-precision map.

8 . The apparatus according to claim 6 , wherein analyzing, in response to receiving the information addition request, the information addition request comprises:

extracting semantic information of the information addition request; and

determining a map element indicated by the information addition request based on the semantic information.

9 . The apparatus according to claim 8 , wherein adding the additional information indicated by the information addition request to the pre-generated high-precision map to generate the updated high-precision map comprises:

generating a three-dimensional model of the map element in the pre-generated high-precision map according to position information indicated by the information addition request.

10 . The apparatus according to claim 7 , wherein the operations further comprise:

determining, in response to receiving a position query request, a map element corresponding to the position query request; and

showing the map element in the pre-generated high-precision map.

11 . (canceled)

12 . A non-transitory computer readable medium, storing a computer program, wherein the computer program, when executed by a processor, implements the method according to claim 1 .

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2021
From: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
To: APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD.
Reel/Frame 058241/0248 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR'S EXECUTION DATES AND ASSIGNMENT DOCUMENTS PREVIOUSLY RECORDED ON REEL 056335 FRAME 0717. ASSIGNOR(S) HEREBY CONFIRMS THE CORRECTIVE ASSIGNMENT. Recorded May 28, 2021
From: WANG, YUE; WU, ZELIN; XUE, JINGJING; LIU, YINGNAN; RAO, WENLONG; GONG, WEI
To: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
Reel/Frame 056423/0248 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNMENT DOCUMENT AND SECOND INVENTOR'S EXECUTION DATE PREVIOUSLY RECORDED AT REEL: 055037 FRAME: 0453. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT . Recorded May 21, 2021
From: WANG, YUE; WU, ZELIN; XUE, JINGJING; LIU, YINGNAN; RAO, WENLONG; GONG, WEI
To: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
Reel/Frame 056335/0717 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 26, 2021
From: WANG, YUE; WU, ZELIN; XUE, JINGJING; LIU, YINGNAN; RAO, WENLONG; GONG, WEI
To: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
Reel/Frame 055037/0453 →