Fusion of motion and appearance features for object detection and trajectory prediction
US10482572B2 · kind B2 · utility
3Cited by
3References
20Claims
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Key dates
| Filing date | Oct 6, 2017 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | Jan 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and examples pertaining to objection detection and trajectory prediction for autonomous vehicles are described. A processor receives an input stream of image frames and fuses a spatiotemporal input stream of the image frames and an appearance-based stream of the image frames using a deep neural network (DNN) to generate an augmented stream of the image frames. The processor performs object detection and trajectory prediction of one or more objects in the image frames based on the augmented stream.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.