Detection system for predicting information on pedestrian

US12172678B2 · kind B2 · utility

Assignee

• APTIV TECHNOLOGIES AG · BB

Inventors

• Lukas Hahn · Wuppertal, DE
• Maximilian Schaefer · Wuppertal, DE
• Kun Zhao · Sichuan, CN
• Frederik Lenard Hasecke · Solingen, DE
• Yvonne Schnickmann · Wuppertal, DE
• Andre Paus · Wuppertal, DE

Key dates

• Filing date: Feb 1, 2022
• Grant date: Dec 24, 2024
• Expiry date: Mar 11, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/044
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The prediction system for predicting an information related to a pedestrian has a tracking module that detects and tracks in real-time a pedestrian in an operating area, from sensor data; a machine-learning prediction module that performs a prediction of information at future times related to the tracked pedestrian using a machine-learning algorithm from input data including data of the tracked pedestrian transmitted by the tracking module and map data of the operating area; a pedestrian behavior assessment module that determines additional data of the tracked pedestrian representative of a real time behavior of the pedestrian, and said additional data of the tracked pedestrian is used by the machine-learning prediction module as another input data to perform the prediction.