Automatically collecting training data for object recognition with 3D lidar and localization
US10262234B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2017 |
| Grant date | Apr 16, 2019 |
| Priority date | — |
| Expiry date | May 25, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In one embodiment, 3D LIDAR data points are collected using a 3D LIDAR device mounted on an ADV, while the ADV is driving within a predetermined proximity. GPS information associated with a number of objects that are located and moving within the proximity surrounding the ADV. The GPS information of the objects may include a location, a speed, and a heading direction of the objects captured at a particular point in time. The objects are associated with at least some of the LIDAR data points based on the GPS information of the objects. The 3D LIDAR data points are then labeled based on a type of the objects, wherein the labeled 3D LIDAR data points are utilized to train a machine-learning algorithm or model to be utilized for object recognition by ADVs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.