Invention Application
- Patent Title: SYSTEM AND METHOD FOR ACCELERATION-BASED VECTOR FIELD MAPS
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Application No.: US16728849Application Date: 2019-12-27
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Publication No.: US20200149898A1Publication Date: 2020-05-14
- Inventor: Javier Felip Leon , Ignacio J. Alvarez , Maria Soledad Elli , David I. Gonzalez Aguirre , Javier Turek
- Applicant: Intel Corporation
- Main IPC: G01C21/32
- IPC: G01C21/32 ; G01C21/16 ; G05D1/02 ; G05D1/00

Abstract:
In an autonomous vehicle system, data received from one or more autonomous vehicles (AVs) can be aggregated to generate aggregated data. From this aggregated data, a vector-field map can be generated that includes a plurality of cells. Each of the cells can include a corresponding vector. The vector field map can be analyzed to identify one or more vectors of the plurality of cells that exceed one or more predetermined threshold values. The analysis can include a magnitude analysis and/or a frequency analysis. Based on the analysis, traffic and/or road conditions can be determined, which can provide prior knowledge about the driving behavior of other vehicles. Advantageously, aspects of the disclosure improve predictive motion models and enhance navigation algorithms.
Public/Granted literature
- US11536574B2 System and method for acceleration-based vector field maps Public/Granted day:2022-12-27
Information query
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