Generative Künstliche Intelligenzbasierte Erzeugung Synthetischer Daten für Sichtbasierte Systeme

Details

Veröffentlichungs-Nr.

EP4528650

Aktenzeichen

EP24196353

Anmeldetag

26. August 2024

Veröffentlichung

14. Januar 2026

Erteilung

14. Januar 2026

Rechtsraum

EP

IPC

G06T11/00G06N3/045G06N3/08G06V10/26G06V10/82

Abstract

Realistic data is an important aspect for training vision based systems. Conventional approaches need complex prerequisites to generate such data and are quite expensive as well. The present disclosure provides one stop solution for different artificial intelligence rendering, scenario generation and future video prediction. The present disclosure provides a provision for fusion of Generative Artificial Intelligence (GenAI), deep learning and image processing techniques and explores the possibilities of generating data from simulated, real, or fused environments. Further, the present disclosure utilizes a panoptic Segmentation approach to create semantic labels and a flow map-based methodology taking cues from a sequence of frames helps to address long time temporal coherence which is a key issue in generated data. This goes as an input to the Generative AI network which generates synthetic dataset based on the aspects of dynamic objects, scene changing and environment variations.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete