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This Frost & Sullivan analysis examines the evolution of mobility innovation through a comprehensive benchmarking of automotive and mobility-related patents across connected, autonomous, shared, and electric (CASE) mobility dimensions. Using patent data from the United States Patent and Trademark Office spanning 1976 to 2040, the analysis maps lon...

19 May 2017  |  Asia Pacific  |  Market Research

Strategic Analysis of Autonomous Cars in China, 2010–2025

Autonomous Cars Likely to be Commercialized among OEMs in China by 2030

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China is the largest passenger vehicle marketplace in term of sales and production volume in the world. Strong capitalization and the fast-growing automotive industry in China are likely to create high development opportunities in the global autonomous car market. The Chinese automotive industry is moving into autonomous car development. It is at t...

Partners in the autonomous driving value chain are on the brink of developing advanced driver-assistance systems (ADAS) and autonomous driving systems to enhance the safety and convenience requirements of the driver, passengers, and other vulnerable road users. Increasing automated safety requirements have necessitated the need for a robust regulat...

In this study, Frost & Sullivan analyzes the mobility innovation ecosystem by examining automotive and mobility-related patents across the connected, autonomous, shared, and electric (CASE) mobility dimensions.Some relevant details are as follows. • The scope covers North America, with a primary focus on the United States, due to the dep...

Automotive perception sensors based on cameras, LiDAR, ultrasonics, and conventional 2D radars have come far in their detection, range, resolution, and processing capabilities but still have inherent limitations. High deployment costs and the inability to detect in adverse weather conditions, see through solid objects, or meet other safety requirem...

This study discusses LIDAR as a part of a sensor suite in Advanced Driver Assistance Systems (ADAS) in next-generation automated passenger vehicles. It analyses which type of LIDAR would best enable active safety and automated driving functions, especially as Original Equipment Manufacturers (OEMs) are now accepting LIDAR as integral for partial to...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...