Вештачка интелигенција

New Trends Shaping the Future of the Automotive Industry

Summary

Introduction The development of innovation in the automotive industry is a complex process that follows a path of evolution resembling the letter S. This path reflects the typical life cycle of innovations, from their early inception to accelerated adoption, stabilization, […]

New Trends Shaping the Future of the Automotive Industry

Introduction

The development of innovation in the automotive industry is a complex process that follows a path of evolution resembling the letter S. This path reflects the typical life cycle of innovations, from their early inception to accelerated adoption, stabilization, and maturity.

It is crucial to identify at which point on this path certain innovations currently stand, especially those in the early development and accelerated adoption phases. This helps us understand the current level of innovation adoption and predict the future trajectory and impact it will have on the industry.

Over 300 innovations shaping the future of the automotive industry

According to a report by GlobalData on technological forecasts, which depicts the development of innovations in the automotive industry using innovation intensity models based on over a million patents, there are over 300 areas of innovation that will shape the future of this industry.

In the early innovation phase, on-demand autonomous logistics, end-to-end learning models, and adaptive driver warning systems are technologies that are in the early stages of implementation and should be closely monitored. Vehicular vision, adaptive cruise control, and predictive acceleration systems are some of the areas of accelerated innovation, where the adoption of these technologies has gradually increased.

The role of artificial intelligence in the automotive industry

One of the key areas of innovation in artificial intelligence is Moving Obstacle Prediction AI. This technology utilizes artificial intelligence techniques such as machine learning and neural networks to accurately predict the trajectory of moving obstacles on the path of an autonomous vehicle. By analyzing and interpreting various input data such as sensor data and traffic patterns, these artificial intelligence systems can generate real-time predictions to safely navigate the vehicle.

The analysis by GlobalData also reveals which companies are leading in each area of innovation and estimates the potential impact of their patents on different applications and geographies. According to GlobalData, there are 30 companies, including technology suppliers, established automotive companies, and startups, developing and applying artificial intelligence technologies for predicting the movement of obstacles.

Key players in the field of Moving Obstacle Prediction AI – Disruptive innovations in the automotive industry

“Application diversity” measures the number of patent applications for each application, which further categorizes companies as “niche” or “diverse” innovators.

“Geographic reach” refers to the number of countries in which each patent is registered, reflecting the geographical scope of implementation, ranging from “global” to “local.”

Source: GlobalData Patent Analytics

Intel is one of the leading patent holders in the field of Moving Obstacle Prediction AI in the automotive industry. Their system utilizes LiDAR sensors, cameras, and processors to identify and track moving objects, predict future paths for tasks such as object detection, obstacle avoidance, and adaptive cruise control. Alphabet and Nuro are among the other key patent holders in this area.

In terms of application diversity, FedEx takes the first position, followed by Nio and FiveAI. When it comes to geographical reach, Nuro occupies the top position, followed by Walmart and Nio.

For further understanding of key themes and technologies disrupting the automotive industry, check out the latest thematic research published by GlobalData on artificial intelligence in the automotive industry.

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