Automotive

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...

As the race toward deployment of self-driving vehicles picks up momentum and the levels of autonomous driving increase, original equipment manufacturers (OEMs) are demanding better sensors that can harmonize and achieve surround vision, giving an autonomous vehicle full visibility of its environment. Numerous sensors are already available and in...

Frost & Sullivan's research service on the regulatory framework towards autonomous driving in heavy-duty truck provides detailed market and technology trends, challenges, and forecasts from 2017 to 2025 at a global level. The study identifies and analyzes the key goals and progression needed to realize autonomous semi-trucks by 2025. It outlines th...

The global automotive product to service market will be driven by mobility, connected services, and value-added upgrades. New business model disruptions are expected and they will extend the automotive service revenue pool up to $ 1.3 trillion. Car companies are evolving from the business of merely manufacturing and selling cars, to providing relat...

21 Nov 2016  |  Global  |  Market Research

Automotive LIDAR Market for ADAS and Automated Driving, Global 2016

Software Margins in ADAS Applications to Grow Above 20% by 2020

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This research service discusses LIDAR as a part of the ADAS sensor suite in the future generation of automated passenger vehicles. With OEMs accepting LIDAR as an integral part of the solution for partial to fully automated vehicles, this study details the type of LIDAR that would be best suited for enabling active safety and automated driving. Thi...