公开(公告)号：US20200223443A1

公开(公告)日：2020-07-16

申请号：US16830413

申请日：2020-03-26

Applicant: Intel Corporation

Inventor： David Gonzalez Aguirre ,  Ignacio Alvarez ,  Maria Soledad Elli ,  Javier Felip Leon ,  Javier Turek

IPC: B60W40/068 ,  B60W50/00 ,  B60W40/10

Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

公开(公告)号：US20200149898A1

公开(公告)日：2020-05-14

申请号：US16728849

申请日：2019-12-27

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Ignacio J. Alvarez ,  Maria Soledad Elli ,  David I. Gonzalez Aguirre ,  Javier Turek

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.