Method for the classification of parking spaces in a surrounding region of a vehicle with a neural network

US11455808B2 · kind B2 · utility

Assignee

• VALEO SCHALTER UND SENSOREN GMBH · DE

Inventors

• Malte Joos · Bietigheim-Bissingen, DE
• Mathieu Bulliot · Bietigheim-Bissingen, DE
• Mahmoud Shalaby · Bietigheim-Bissingen, DE
• Ayman Mahmoud · Bietigheim-Bissingen, DE
• Jean-Francois Bariant · Bietigheim-Bissingen, DE

Key dates

• Filing date: Dec 6, 2018
• Grant date: Sep 27, 2022
• Expiry date: Apr 12, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G08G1/168
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The invention relates to a method for the classification of parking spaces in a surrounding region of a vehicle with a driver support system, wherein the vehicle comprises at least one first surroundings sensor and a second surroundings sensor, comprising the steps of receiving first sensor data out of the surrounding region by the driver support system from the at least one first surroundings sensor, recognizing a parking-space-like partial region of the surrounding region in the first sensor data, requesting second sensor data acquired by the at least one second surroundings sensor out of the parking-space-like partial region by the driver support system as soon as the parking-space-like partial region is recognized in the first sensor data, transmitting the requested second sensor data to a vehicle-side computing unit comprising a deep neural network (DNN), and classifying the parking-space-like partial region into categories with the DNN, wherein the categories comprise legal, parkable parking spaces and illegal, non-parkable parking spaces. The invention also relates to a driver support system, in particular a parking assistance system, for a vehicle for the acquisition of par…