Bookmark and Share

Camera-Based ADAS for Mass Deployments

Register or sign in to access the Embedded Vision Academy's free technical training content.

The training materials provided by the Embedded Vision Academy are offered free of charge to everyone. All we ask in return is that you register, and tell us a little about yourself so that we can understand a bit about our audience. As detailed in our Privacy Policy, we will not share your registration information, nor contact you, except with your consent.

Registration is free and takes less than one minute. Click here to register, and get full access to the Embedded Vision Academy's unique technical training content.

If you've already registered, click here to sign in.

See a sample of this page's content below:


By Peter Voss and Benno Kusstatscher, Automotive Segment Team
Analog Devices
This article was originally published by Elektronik Magazine. It is reprinted here with the permission of the original publisher.

Abstract

Car manufacturers (OEM‘s) and system suppliers (Tier 1s) do agree: Advanced Driver Assistance Systems (ADAS) will see a steep growth in the years to come. One driving factor for sure is the increased safety awareness and the desire for more driving comfort on the customer side. But first and foremost Euro NCAP’s tightened safety requirements will boost installed ADAS equipment from single digit take rates to almost 100% over the next years. Hence it’s to no surprise that the call for commercially viable solution is on. This is to satisfy deployments as high volume standard equipment vs. the moderate customer option business as seen today. Analog Devices recently announced a new ADAS Processor Family, the Blackfin® ADSP-BF60x series which was specifically developed for this now emerging mass market requirement. The first two processors of this new family are available now to service this new requirement for camera based solutions.

Introduction

Depending on the ADAS tasks to solve, different types of sensors are being deployed in systems today.  For the environmental near and far-field monitoring around the vehicle, Radar-, Ultrasonic-, LIDAR-, PMD-, Camera- and Night camera sensors are used either as single or multi sensor systems. The latter do combine the sensor data to achieve more accurate results as desired. Camera systems will further see an additional boost looking inside the car for analyzing the driver’s state. Driver situation and prediction analysis will be used to better filter the various warning messages an ADAS system can generate in the future. The goal is not to overflow the driver with irrelevant warnings. If...