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Method And System For Correcting A Pre‐Generated Navigation Path For An Autonomous Vehicle

Abstract: This disclosure relates generally to autonomous vehicle, and more particularly to method and system for correcting a pre-generated navigation path for an autonomous vehicle. In one embodiment, a method may be provided for correcting the pre-generated navigation path for the autonomous vehicle. The method may include receiving the pre-generated navigation path on a navigation map, an environmental field of view (FOV) of the autonomous vehicle, and a location of the autonomous vehicle on the pre-generated navigation path. The method may further include determining a set of new data points in a pre-defined region with respect to the location of autonomous vehicle based on the environmental FOV and the navigation map, determining an offset of the pre-generated navigation path in the pre-defined region based on the set of new data points, and correcting the pre-generated navigation path in the pre-defined region based on the offset. Figure 2

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
29 September 2017
Publication Number
14/2019
Publication Type
INA
Invention Field
COMMUNICATION
Status
Email
ipr@akshipassociates.com
Parent Application
Patent Number
Legal Status
Grant Date
2022-09-01
Renewal Date

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore 560035, Karnataka, India

Inventors

1. BALAJI SUNIL KUMAR
#001, BM Mystic Green, 27th Main Road, Sector 2, HSR Layout, Bengaluru 560102, Karnataka, India
2. MANAS SARKAR
648, Rishi Bankim Sarani, Hridaypur, Barasat, North 24 Parganas, Kolkata‐ 700127, West Bengal, India
3. SHYAM SUNDAR PAL
Flat No: 14, Block: L/J, Kustia Govt. Housing Estate, Picnic Garden Road, Kolkata‐700039, West Bengal, India

Specification

Claims:WE CLAIM
1. A method for correcting a pre-generated navigation path for an autonomous vehicle, the method comprising:
receiving, by a navigation device, the pre-generated navigation path on a navigation map, an environmental field of view (FOV) of the autonomous vehicle, and a location of the autonomous vehicle on the pre-generated navigation path;
determining, by the navigation device, a set of new data points in a pre-defined region with respect to the location of autonomous vehicle based on the environmental FOV and the navigation map;
determining, by the navigation device, an offset of the pre-generated navigation path in the pre-defined region based on the set of new data points; and
correcting, by the navigation device, the pre-generated navigation path in the pre-defined region based on the offset.

2. The method of claim 1, wherein the navigation map is a pre-generated light detection and ranging (LIDAR) map, and wherein the environmental FOV is received from a LIDAR scanner.

3. The method of claim 1, wherein the location of the autonomous vehicle is determined using at least one of a Monte Carlo localization algorithm, a geo-positioning system, a visual odometer, and an odometer.

4. The method of claim 1, wherein the pre-defined region is a region up to a certain pre-defined distance in front of the autonomous vehicle based on a curvature of the pre-generated navigation path, along each side of the pre-generated navigation path, from a pre-defined start height above a road surface, and up to a pre-defined end height above the road surface.

5. The method of claim 1, wherein determining the set of new data points comprises:
comparing a plurality of data points in the pre-defined region of the environmental FOV with a plurality of data points in the pre-defined region of the navigation map; and
based on the comparison, identifying a set of data points in the pre-defined region of the environmental FOV that have no corresponding data points in the navigation map within a pre-defined threshold.

6. The method of claim 1, wherein determining the offset comprises determining a set of offset distances along the pre-generated navigation path with respect to the set of new data points.

7. The method of claim 6, wherein determining each of the set of offset distances comprises:
projecting a virtual ray at a pre-defined projection angle from the autonomous vehicle;
computing a distances between the autonomous vehicle and a first data point from the set of new data points in the line of the virtual ray; and
computing an offset distance between the pre-generated navigation path and the first data point based on the distance and the pre-defined projection angle.

8. The method of claim 6, wherein correcting the pre-generated navigation path comprises:
determining an actual drivable road width along the pre-generated navigation path in the pre-defined region based on the set of offset distances; and
determining a corrected navigation path, corresponding to the pre-generated navigation path in the pre-defined region, based on the actual drivable road width.

9. The method of claim 6, wherein correcting the pre-generated navigation path comprises:
identifying an intended distance of the autonomous vehicle from an obstacle or a no-go region of at least one side along the pre-generated navigation path in the pre-defined region; and
determining a corrected navigation path, corresponding to the pre-generated navigation path in the pre-defined region, based on the intended distance and the set of offset distances.

10. A system for correcting a pre-generated navigation path for an autonomous vehicle, the system comprising:
a navigation device comprising at least one processor and a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
receiving the pre-generated navigation path on a navigation map, an environmental field of view (FOV) of the autonomous vehicle, and a location of the autonomous vehicle on the pre-generated navigation path;
determining a set of new data points in a pre-defined region with respect to the location of autonomous vehicle based on the environmental FOV and the navigation map;
determining an offset of the pre-generated navigation path in the pre-defined region based on the set of new data points; and
correcting the pre-generated navigation path in the pre-defined region based on the offset.

11. The system of claim 10, wherein the pre-defined region is a region up to a certain pre-defined distance in front of the autonomous vehicle based on a curvature of the pre-generated navigation path, along each side of the pre-generated navigation path, from a pre-defined start height above a road surface and up to a pre-defined end height above the road surface.

12. The system of claim 10, wherein determining the set of new data points comprises:
comparing a plurality of data points in the pre-defined region of the environmental FOV with a plurality of data points in the pre-defined region of the navigation map; and
based on the comparison, identifying a set of data points in the pre-defined region of the environmental FOV that have no corresponding data points in the navigation map within a pre-defined threshold.

13. The system of claim 10, wherein determining the offset comprises determining a set of offset distances along the pre-generated navigation path with respect to the set of new data points.

14. The system of claim 13, wherein determining each of the set of offset distances comprises:
projecting a virtual ray at a pre-defined projection angle from the autonomous vehicle;
computing a distances between the autonomous vehicle and a first data point from the set of new data points in the line of the virtual ray; and
computing an offset distance between the pre-generated navigation path and the first data point based on the distance and the pre-defined projection angle.

15. The system of claim 13, wherein correcting the pre-generated navigation path comprises:
determining an actual drivable road width along the pre-generated navigation path in the pre-defined region based on the set of offset distances; and
determining a corrected navigation path, corresponding to the pre-generated navigation path in the pre-defined region, based on the actual drivable road width.

16. The system of claim 13, wherein correcting the pre-generated navigation path comprises:
identifying an intended distance of the autonomous vehicle from an obstacle or a no-go region of at least one side along the pre-generated navigation path in the pre-defined region; and
determining a corrected navigation path, corresponding to the pre-generated navigation path in the pre-defined region, based on the intended distance and the set of offset distances.

Dated this 29th day of September, 2017

Swetha SN
Of K&S Partners
Agent for the Applicant
IN/PA-2123
, Description:TECHNICAL FIELD

This disclosure relates generally to autonomous vehicle, and more particularly to method and system for correcting a pre-generated navigation path for an autonomous vehicle.

Documents

Application Documents

# Name Date
1 201741034784-STATEMENT OF UNDERTAKING (FORM 3) [29-09-2017(online)].pdf 2017-09-29
2 201741034784-REQUEST FOR EXAMINATION (FORM-18) [29-09-2017(online)].pdf 2017-09-29
3 201741034784-POWER OF AUTHORITY [29-09-2017(online)].pdf 2017-09-29
4 201741034784-FORM 18 [29-09-2017(online)].pdf 2017-09-29
5 201741034784-FORM 1 [29-09-2017(online)].pdf 2017-09-29
6 201741034784-DRAWINGS [29-09-2017(online)].pdf 2017-09-29
7 201741034784-DECLARATION OF INVENTORSHIP (FORM 5) [29-09-2017(online)].pdf 2017-09-29
8 201741034784-COMPLETE SPECIFICATION [29-09-2017(online)].pdf 2017-09-29
9 201741034784-REQUEST FOR CERTIFIED COPY [02-10-2017(online)].pdf 2017-10-02
10 abstract 201741034784.jpg 2017-10-03
11 201741034784-REQUEST FOR CERTIFIED COPY [20-12-2017(online)].pdf 2017-12-20
12 201741034784-Proof of Right (MANDATORY) [20-12-2017(online)].pdf 2017-12-20
13 Correspondence by Agent_Form30,Form1_26-12-2017.pdf 2017-12-26
14 201741034784-REQUEST FOR CERTIFIED COPY [08-02-2018(online)].pdf 2018-02-08
15 201741034784-RELEVANT DOCUMENTS [02-02-2021(online)].pdf 2021-02-02
16 201741034784-PETITION UNDER RULE 137 [02-02-2021(online)].pdf 2021-02-02
17 201741034784-Information under section 8(2) [02-02-2021(online)].pdf 2021-02-02
18 201741034784-FORM 3 [02-02-2021(online)].pdf 2021-02-02
19 201741034784-OTHERS [03-02-2021(online)].pdf 2021-02-03
20 201741034784-FER_SER_REPLY [03-02-2021(online)].pdf 2021-02-03
21 201741034784-DRAWING [03-02-2021(online)].pdf 2021-02-03
22 201741034784-CORRESPONDENCE [03-02-2021(online)].pdf 2021-02-03
23 201741034784-CLAIMS [03-02-2021(online)].pdf 2021-02-03
24 201741034784-FER.pdf 2021-10-17
25 201741034784-US(14)-HearingNotice-(HearingDate-18-08-2022).pdf 2022-08-03
26 201741034784-POA [13-08-2022(online)].pdf 2022-08-13
27 201741034784-FORM 13 [13-08-2022(online)].pdf 2022-08-13
28 201741034784-Correspondence to notify the Controller [13-08-2022(online)].pdf 2022-08-13
29 201741034784-AMENDED DOCUMENTS [13-08-2022(online)].pdf 2022-08-13
30 201741034784-Written submissions and relevant documents [29-08-2022(online)].pdf 2022-08-29
31 201741034784-PatentCertificate01-09-2022.pdf 2022-09-01
32 201741034784-IntimationOfGrant01-09-2022.pdf 2022-09-01

Search Strategy

1 search73_20-02-2020.pdf

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3rd: 01 Dec 2022

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