Computer-Implemented Method for ML Training in Fall Assessment for Automotive Safety
Summary
The European Patent Office published patent application EP4423680A1 by Autoliv Development AB, covering a computer-implemented method for training machine learning models for fall assessment in automotive safety applications. The application, filed by inventor Jawwad Ahmed, was published March 25, 2026 under IPC classification G06N 20/00. The patent designates all relevant European member states for protection.
What changed
EPO published patent application EP4423680A1 for a computer-implemented method of training machine learning models specifically designed for fall assessment in automotive safety contexts. The applicant is Autoliv Development AB, a leading automotive safety systems manufacturer. The invention falls under IPC classification G06N 20/00 (machine learning) and designates all European patent states including DE, FR, GB, IT, ES, NL, BE, SE, and others.
This is a patent publication notice, not a regulatory requirement. No compliance actions are required from manufacturers or technology companies. Entities developing similar ML-based automotive safety systems should review the published claims to assess potential patent landscape implications for their own R&D activities.
Source document (simplified)
COMPUTER-IMPLEMENTED METHOD FOR TRAINING OF A MACHINE LEARNING MODEL IN FALL ASSESSMENT
Publication EP4423680A1 Kind: A1 Mar 25, 2026
Applicants
Autoliv Development AB
Inventors
AHMED, Jawwad
IPC Classifications
G06N 20/00 20190101AFI20230505BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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