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  • Frost Radar—Automotive Cameras, 2022
    A benchmarking system to spark companies to action—innovation that fuels new deal flow and growth pipelines

    Research Overview

    Advanced driver assistance systems (ADAS) and autonomous vehicles use cameras as an integral part of the perception sensor suite to gather vision-based information that helps systems make logical decisions through artificial intelligence-based sensing and perception algorithms that enable autonomous driving features.

    Automotive cameras are broadly classified as either visible or infrared and primarily are mounted on a vehicle’s front, rear, and side (mirror) to provide a 360-degree view of the vehicle’s environment.

    The automotive camera market is in the growth stage and is quite competitive, with automakers using one or multiple camera sensors for safety, assistance, and convenience features such as blind spot detection, lane keeping assist, lane departure warning, parking assist, and automated parking.

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