IP Library Granted Patent US 12,203,772
Granted Patent B1
US 12,203,772 · App. 18/745,367 · Granted Jan 21, 2025

Map updating method and computer program recorded on recording medium to execute the same

Inventors: Jae Seung Kim (Seoul, KR); Man Gyu Kim (Anyang-si, KR)
Assignee: MOBILTECH
G01C21/3804G01S17/89G01S19/01G06T7/70G06T2207/10028
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,203,772
App. No.
18/745,367
Granted
Jan 21, 2025
Kind
B1
Abstract

Proposed is a map updating method for updating a map using data acquired from other sensors for regions with low global positioning system (GPS) signal sensitivity on a precision road map generated based on GPS information. The method may include loading, by a data generating device, a reference map generated based on location information acquired by a global positioning system (GPS) device and first point cloud data acquired from a first light detection and ranging (LiDAR) and updating, by the data generating device, the reference map based on second point cloud data acquired from a second LiDAR mounted on a vehicle traveling on a path of the reference map.

Claims (16)

1. A map updating method comprising:

loading, by a data generating device, a reference map generated based on a location information acquired by a global positioning system (GPS) device and first point cloud data acquired from a first light detection and ranging (LiDAR); and

updating, by the data generating device, the reference map based on second point cloud data acquired from a second LiDAR mounted on a vehicle traveling on a path of the reference map,

wherein, in the updating of the reference map, a location of the second LiDAR is estimated through a normal distribution transform (NDT) matching for the first point cloud data and the second point cloud data, and a degree of matching between the first point cloud data and the second point cloud data is determined using a fitness score, which is a sum of errors of a mean and a covariance between voxels in a process of the NDT matching, and

wherein the updating of the reference map is deactivated by fixing a point cloud included in the first point cloud data in a process of estimating a location of the vehicle.

2. The map updating method of claim 1 , wherein, in the updating of the reference map, at least one point at which the fitness score between the first point cloud data and the second point cloud data is lower than a preset value is updated based on the second point cloud data acquired through the second LiDAR.

3. The map updating method of claim 2 , wherein, in the updating of the reference map, the reference map is updated based on the second point cloud data acquired through the second LiDAR, and an accumulated error is corrected by detecting a loop closure.

4. The map updating method of claim 3 , wherein the vehicle traveling on the path of the reference map moves along an outermost portion of the reference map from a specific point located in the outermost portion of the reference map, returns to the specific point, and then travels on a preset path.

5. The map updating method of claim 1 , wherein, in the loading of the reference map, the reference map is divided into grids having a preset size, and a corresponding reference map is loaded to a grid among the grids.

6. A map updating method comprising:

loading, by a data generating device, a reference map generated based on a location information acquired by a global positioning system (GPS) device and first point cloud data acquired from a first light detection and ranging (LiDAR); and

updating, by the data generating device, the reference map based on second point cloud data acquired from a second LiDAR mounted on a vehicle traveling on a path of the reference map,

wherein, in the updating of the reference map, a point cloud in which a heading standard deviation indicating an error of location information specified from the GPS device is lower than a preset value is extracted from the first point cloud data, and

wherein the point cloud in which the heading standard deviation is lower than the preset value is updated based on third point cloud data acquired from a third LiDAR.

7. The map updating method of claim 6 , wherein the third point cloud data is aerial point cloud data acquired from the third LiDAR mounted on a flight device flying over the reference map.

8. The map updating method of claim 7 , wherein, in the updating of the reference map, a path with a shortest distance which is able to pass through all regions in which the heading standard deviation is lower than the preset value is extracted and provided to the flight device, and the first point cloud data is updated based on the third point cloud data acquired from the third LiDAR mounted on the flight device moving on the path.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 17, 2024
From: KIM, JAE SEUNG; KIM, MAN GYU
To: MOBILTECH
Reel/Frame 067746/0292 →
Priority Claims (1)
KR 10-2023-0095431 · Jul 21, 2023 · national
References Cited (7)
US 10823562B1 · Carnahan · 2020 [cited by examiner]
US 20230375363A1 · Zhou · 2023 [cited by examiner]
KR 1020170007102A · 2017 [cited by applicant]
KR 1020190080022A · 2019 [cited by applicant]
KR 102316097B1 · 2021 [cited by applicant]
KR 102506411B1 · 2023 [cited by applicant]
Chang et al., “Integrating V-SLAM and LiDAR-based SLAM for Map Updating,” IEEE 4th International Conference on Knowledge Innovation and Invention, Jul. 2021, pp. 134-139. (Year: 2021). [cited by examiner]