Patent · US Active

Method for determining a semantic segmentation of an environment of a vehicle

US12118797B2 · kind B2 · utility

0Cited by

2References

13Claims

0Family size

Assignee

APTIV TECHNOLOGIES AG · BB

Inventors

Marco Braun · Bukit Mertajam, MY
Moritz Luszek · Detmold, DE
Jan Siegemund · Cologne, DE

Key dates

Filing date	Dec 2, 2021
Grant date	Oct 15, 2024
Priority date	—
Expiry date	Feb 25, 2043

Classification

Technology area (CPC B)Performing Operations; Transporting
CPC primaryB60W2556/40
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method is provided for semantic segmentation of an environment of a vehicle. Via a processing device, a grid of cells is defined dividing the environment of the vehicle. A radar point cloud is received from a plurality of radar sensors, and at least one feature of the radar point cloud is assigned to each grid cell. By using a neural network including deterministic weights, high-level features are extracted for each grid cell. Several classes are defined for the grid cells. For layers of a Bayesian neural network, various sets of weights are determined probabilistically. Via the Bayesian neural network, confidence values are determined for each class and for each grid cell based on the high-level features and based on the various sets of weights in order to determine a predicted class and an extent of uncertainty for the predicted class for each grid cell.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.