System and method for hybrid LiDAR segmentation with outlier detection
US11988749B2 · kind B2 · utility
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Key dates
| Filing date | Aug 19, 2021 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Nov 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices, methods, and systems may obtain at least one point cloud, segment points in the at least one point cloud into a plurality of segments, train a neural network using known segments and a first loss function to generate a first trained neural network, train the first trained neural network using outlier segments and a second loss function to generate a second trained neural network, and train an extended isolation forest by applying an extended isolation algorithm to features of the known segments and features of the outlier segments to generate an anomaly score for each segment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.