Title: Analysing patents of start-ups in AI-based automotive industry

Authors: Sandra Nemet; Dragan Kukolj

Addresses: RT-RK Institute for Computer Based Systems, 21000, Novi Sad, Serbia ' Faculty of Technical Sciences, University of Novi Sad, 21000, Novi Sad, Serbia

Abstract: Entrepreneurial start-ups are increasingly impacted by the emerging artificial intelligence (AI) technologies in the automotive field. They bring highly specialised AI-enhanced functionalities to the automotive industry. These new technologies, such as autonomous driving, electrification and shared mobility, are supported by data and connectivity usage. We have generated a patent portfolio in the field of AI-based Autonomous Driving (AIAD), therefore analysing innovative start-ups and their patent documents. In this paper we analyse the most prominent start-ups, particularly the ones active in the AIAD domain using information from patent documents that were filed by these start-ups. The aim is to identify the domain of technological applications in the AI-based automotive industry. Statistical analysis and selected ML algorithms, e.g., text mining techniques, were performed on structured bibliographic and textual data of patent documents.

Keywords: artificial intelligence; automotive; innovative start-ups; patent portfolio; autonomous driving; patent analysis; text mining; machine learning.

DOI: 10.1504/IJTE.2020.108093

International Journal of Technoentrepreneurship, 2020 Vol.4 No.1, pp.47 - 57

Accepted: 10 Feb 2020
Published online: 02 Jul 2020 *

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