IP Library Granted Patent US 11,619,939
Granted Patent B2
US 11,619,939 · App. 16/708,527 · Granted Apr 4, 2023

Self-driving vehicle positioning method, apparatus and storage medium

Inventors: Fan Yang (Beijing, CN); Xiaoxing Zhu (Beijing, CN); Shiyu Song (Sunnyvale, CA); Zhijie Wang (Beijing, CN)
G05D1/0088G05D1/0246G06V20/58G06V20/588G05D2201/0213
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Quick Facts
Patent No.
US 11,619,939
App. No.
16/708,527
Granted
Apr 4, 2023
Kind
B2
Abstract

The present application provides a self-driving vehicle positioning method, an apparatus and a storage medium, where the method includes: obtaining reference data, where the reference data includes: state information and running path information of at least one traffic participant within a preset distance from a self-driving vehicle, and updating positioning information of the self-driving vehicle according to the reference data. In the technical solutions, when a GPS signal is weak, the self-driving vehicle can also update the positioning information in time, thereby ensuring driving safety of the self-driving vehicle, and solving a driving safety problem existing in the self-driving vehicle of the prior art.

Claims (35)

1. A self-driving vehicle positioning method, comprising:

obtaining reference data, wherein the reference data comprises: state information and running path information of at least one traffic participant within a preset distance from a self-driving vehicle;

determining a driving direction and a running lane of each traffic participant of the at least one traffic participant based on the state information and the running path information of at least one traffic participant; and

updating the positioning information of the self-driving vehicle according to the driving direction and the running lane of the each traffic participant;

wherein the method further comprises:

receiving real-time road condition information from a network device of a current cell where the self-driving vehicle is located, wherein the real-time road condition information is obtained by the network device by monitoring a driving path of the self-driving vehicle;

wherein the method further comprises:

detecting whether a distance between a rear vehicle in the driving lane and the self-driving vehicle is less than a second preset safety distance, and when the distance between the rear vehicle in the driving lane and the self-driving vehicle is less than the second preset safety distance, transmitting an alarm indication to the rear vehicle to instruct the rear vehicle to perform a deceleration or lane change driving;

wherein the method further comprises:

controlling the self-driving vehicle to drive on a road corresponding to a preset driving path based on the updated positioning information;

wherein the controlling the self-driving vehicle to drive on a road corresponding to a preset driving path based on the updated positioning information comprises:

generating a control instruction based on the updated positioning information and the real-time road condition information; and

controlling the self-driving vehicle to drive on the road corresponding to the preset driving path based on the control instruction.

2. The method according to claim 1 , wherein the obtaining reference data comprises:

obtaining the reference data by visual perception or obstacle perception using a detection device disposed on the self-driving vehicle.

3. The method according to claim 2 , wherein the detection device comprises at least one of a laser device, a camera device, a radar device, and an infrared device.

4. The method according to claim 1 , wherein the reference data further comprises: state information of traffic signal lights, distance change information between the self-driving vehicle and an obstacle within a preset distance, running road information, moving state information, and running path information of the self-driving vehicle.

5. A self-driving vehicle positioning apparatus, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor,

wherein the processor, when running the computer program, is configured to:

obtain reference data, wherein the reference data comprises: state information and running path information of at least one traffic participant within a preset distance from a self-driving vehicle;

determine a driving direction and a running lane of each traffic participant of the at least one traffic participant based on the state information and the running path information of at least one traffic participant; and

update the positioning information of the self-driving vehicle according to the driving direction and the running lane of the each traffic participant;

wherein the processor is further configured to:

receive real-time road condition information from a network device of a current cell where the self-driving vehicle is located, wherein the real-time road condition information is obtained by the network device by monitoring a driving path of the self-driving vehicle;

wherein the processor is further configured to:

detect whether a distance between a rear vehicle in the driving lane and the self-driving vehicle is less than a second preset safety distance, and when the distance between the rear vehicle in the driving lane and the self-driving vehicle is less than the second preset safety distance, transmit an alarm indication to the rear vehicle to instruct the rear vehicle to perform a deceleration or lane change driving;

wherein the processor is further configured to:

control the self-driving vehicle to drive on a road corresponding to a preset driving path based on the updated positioning information;

wherein the processor is further configured to:

generate a control instruction based on the updated positioning information and the real-time road condition information; and

control the self-driving vehicle to drive on the road corresponding to the preset driving path based on the control instruction.

6. The apparatus according to claim 5 , wherein the processor is further configured to:

obtain the reference data by visual perception or obstacle perception using a detection device disposed on the self-driving vehicle.

7. The apparatus according to claim 6 , wherein the detection device comprises at least one of a laser device, a camera device, a radar device, and an infrared device.

8. The apparatus according to claim 5 , wherein the at least one traffic participant comprises at least one of a driving vehicle, a cyclist, and a walker.

Assignments (4)
NUNC PRO TUNC ASSIGNMENT Recorded Feb 15, 2023
From: YANG, FAN; ZHU, XIAOXING; WANG, ZHIJIE
To: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Reel/Frame 062709/0543 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 15, 2023
From: BAIDU USA LLC
To: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Reel/Frame 062709/0615 →
EMPLOYMENT CONTRACT Recorded Feb 15, 2023
From: SONG, SHIYU
To: BAIDU USA LLC
Reel/Frame 062760/0965 →
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 →
Priority Claims (1)
CN 201811505085.3 · Dec 10, 2018 · national
Continuity (1)
Related Publication 20200183393A1 · Jun 11, 2020