1 Mobileye: driving assistance on a chip ●Founded: 1999 ●185 employees located in Har-Hotzvim, Jerusalem. ●Develops computer vision algorithms and system-on-chip.

Slides:



Advertisements
Similar presentations
Describing Complex Products as Configurations using APL Arrays.
Advertisements

Yaron Doweck Yael Einziger Supervisor: Mike Sumszyk Spring 2011 Semester Project.
A new Network Concept for transporting and storing digital video…………
Product Lifecycle Management © 2003 IBM Corporation ArvinMeritor LVS (Light Vehicle Systems)  Customer Background o UK arm of worldwide group of companies.
LAPD TELEMATICS PRESENTATION. Why Consider Telematics? 1. Advanced Vehicle Technology 2. Advanced Wireless Communications 3. New Generation of Police.
AXIS Camera Recorder. Value Proposition  AXIS Camera Recorder Offers all core video recording and monitoring functionality at an attractive price level.
1 Imsys microcontroller and modules (rev )
Real-Time Video Analysis on an Embedded Smart Camera for Traffic Surveillance Presenter: Yu-Wei Fan.
CPSC 425: Computer Vision (Jan-April 2007) David Lowe Prerequisites: 4 th year ability in CPSC Math 200 (Calculus III) Math 221 (Matrix Algebra: linear.
The Ultimate Surveillance Vehicle Nicholas Sanders Matthew Kozlowski Matthew Sommer Jeff Graw.
i Sight1 April 1998 i Sight2 Objective u Present i Sight Company. u Present i Sight Technologies. u Description of technologies. u Status of each technology.
Define Embedded Systems Small (?) Application Specific Computer Systems.
Zach Allen Chris Chan Ben Wolpoff Shane Zinner Project Z: Stereo Range Finding Based on Motorola Dragonball Processor.
Introduction to ARM Architecture, Programmer’s Model and Assembler Embedded Systems Programming.
ATI GPUs and Graphics APIs Mark Segal. ATI Hardware X1K series 8 SIMD vertex engines, 16 SIMD fragment (pixel) engines 3-component vector + scalar ALUs.
Embedded Systems Programming
Mahesh Sukumar Subramanian Srinivasan. Introduction Face detection - determines the locations of human faces in digital images. Binary pattern-classification.
AXIS Camera Station Comprehensive video management software for monitoring, recording, playback and event management.
CCD and CMOS Sensors Craig Robinson.
© 2010 Altera Corporation—Public DSP Innovations in 28-nm FPGAs Danny Biran Senior VP of Marketing.
IE433 CAD/CAM Computer Aided Design and Computer Aided Manufacturing Part-2 CAD Systems Industrial Engineering Department King Saud University.
L29:Lower Power Embedded Architecture Design 성균관대학교 조 준 동 교수,
Shane Tuohy.  In 2008, rear end collisions accounted for almost 25% of all injuries sustained in road traffic accidents on Irish roads [RSA Road Collision.
Introduction to Computer Engineering ECE/CS 252, Fall 2007 Prof. Mikko Lipasti Department of Electrical and Computer Engineering University of Wisconsin.
This action is co-financed by the European Union from the European Regional Development Fund The contents of this poster are the sole responsibility of.
04/04/20071 Image Understanding Architecture: Exploiting Potential Parallelism in Machine Vision.
Distribution of this document, usage or publishing of its content, as a whole or in parts, has to be confirmed by Continental. © Copyright by Continental,
Real-Time High Resolution Photogrammetry John Morris, Georgy Gimel’farb and Patrice Delmas CITR, Tamaki Campus, University of Auckland.
1. This seminar paper is based upon the project work being carried out by the collaboration of Delphi- Delco Electronics (DDE) and General Motors Corporation.It.
Business Model for an Industrial development agency
Dr. Alireza Ghorshi Dr. Mohammad Mortazavi Dr. Mohammad Khansari Dr. Alireza Nemany Pour.
Typical Microcontroller Purposes
F Networked Embedded Applications and Technologies Lab Department of Computer Science and Information Engineering National Cheng Kung University, TAIWAN.
Implementing Codesign in Xilinx Virtex II Pro Betim Çiço, Hergys Rexha Department of Informatics Engineering Faculty of Information Technologies Polytechnic.
Computer Science Department Pacific University Artificial Intelligence -- Computer Vision.
Accelerating image recognition on mobile devices using GPGPU
DIEGO AGUIRRE COMPUTER VISION INTRODUCTION 1. QUESTION What is Computer Vision? 2.
Trends in Embedded Computing The Ubiquitous Computing through Sensor Swarms.
Designing for energy-efficient vision-based interactivity on mobile devices Miguel Bordallo Center for Machine Vision Research.
Performed by: Aharon Yakov Hen Markovich Instructor: Boaz Mizrahi המעבדה למערכות ספרתיות מהירות High speed digital systems laboratory הטכניון - מכון טכנולוגי.
ATE wheel speed sensors. 2 Why ATE wheel speed sensors? Growing trend to comfort and safety: ABS is the standard today in all cars newly registered in.
1 Integrated Vehicle-Based Safety Systems Initiative Jack Ference United States Department of Transportation 2006 ITS World Congress 8-12 October 2006.
CS/EE 5810 CS/EE 6810 F00: 1 Embedded Systems vs. GPR.
Improve Operations with Data-Driven Decision Making.
How the Future of Signal Processing Will Affect Us Gene A Frantz Principal Fellow Texas Instruments.
EDA (Circuits) Overview Paul Hasler. Extent of Circuits (Analog/Digital) Analog ~ 20% of IC market since 1970 Hearing aids Automotive Biomedical Digital.
Fundamentals of Programming Languages-II
Optical Sensors in Automotive Applications “Solving Sensing Problems with Photonics” Photonex 2010, 3 rd November 2010 Roger Hazelden Technology Leader,
Data Mining Techniques Applied in Advanced Manufacturing PRESENT BY WEI SUN.
Implementation of Real Time Image Processing System with FPGA and DSP Presented by M V Ganeswara Rao Co- author Dr. P Rajesh Kumar Co- author Dr. A Mallikarjuna.
Sample Workbook for Crash Avoidance Technologies Focus Groups.
i.MX 8 Series: 3 Processor Families with Targeted Features
i.MX Processor Roadmap i.MX 8 family i.MX 8M family i.MX 8X family
Viper Family.
On-board Technologies
What’s new and What’s coming Guy Arazi: Director of Products
Siemens Enables Digitalization: Data Analytics & Artificial Intelligence Dr. Mike Roshchin, CT RDA BAM.
A Forest of Sensors: Using adaptive tracking to classify and monitor activities in a site Eric Grimson AI Lab, Massachusetts Institute of Technology
Autonomous Driving Localization, path planning, obstacle avoidance
The Importance of ADAS Technology
Introduction.
Latoya Swiams General Motors
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Solid State Automotive LiDAR Industry analysis research and trends report.
Vehicle Camera Market by Application (DMS, BSD, ACC, NVS, PAS), Product Type (Camera, Camera module), Technology (Infrared, digital,
Chapter 1 Introduction.
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Advanced Driver Assistance System Market to cross $74.5 Mn by 2025: Global.
Effects of an Aftermarket Crash Avoidance System on Warning Rates and Driver Acceptance in Urban and Rural Environments ADTSEA 2019 Burlington VT July.
Martin Croome VP Business Development GreenWaves Technologies.
©2018 Graphical Research. All rights reserved. North America Automotive Camera Market growth to outpace at $5bn by 2025: Graphical.
©2018 Graphical Research. All rights reserved. Europe Automotive Camera Market to witness gains upto $5bn by 2025: Graphical.
Presentation transcript:

1 Mobileye: driving assistance on a chip ●Founded: 1999 ●185 employees located in Har-Hotzvim, Jerusalem. ●Develops computer vision algorithms and system-on-chip technology for driving assistance systems for the automotive industry. ●Products have been launched by BMW 5-series, GM Buick and Cadillac, Volvo S80, XC70. Future launches in the next 3 years cover 70% of car manufacturers. ●Financial history: seed of $1M (private investors), further rounds totaling $55M until 2004 (private and institutional investors). In 10/2007 Goldman Sachs closed an investment of $130M (at pre- money valuation of $500M). 1

2

3 BMW 5-series, 03/2007

4 GM Buick 05/2007

5

EyeQ-1 System-on-chip: Applications Consolidated GM LDW, Volvo CMBB, Volvo DIMON, BMW KAFAS ARM946E Control Unit Controls interface with outside world (e.g. CAN) Scheduling tasks to be run on the 4 VCEs (Vision Computing Engines) Performs high-level computations required by the applications ARM946E Logic Unit Performs high level algorithms Available for implementing future algorithms Classifier Engine Image scaling & preprocessing units Pattern classifier units Tracker Engine Image warping & motion analysis unit Lane Detection Engine Lane’s marks detection Lane following unit Process, Window & Filter Engine Image convolver & image pyramid units Computes vertical & horizontal edge maps Eight channels DMA Controller: Scattered and linear modes 16 words a burst

●Complete product “on board” – Compact platform (65mm x 33mm) – EyeQ vision-system-on-chip – High dynamic camera range sensor – Digital CAN interface (2x1 MB channel) – < 3W power consumption – Automotive in-cabin qualification ●Extends Mobileye position to Subsystem provider – Improves understanding of application – Improves negotiation ●Compelling commercial potential – Genuine OEM aftermarket business – Accelerate time to market at sensitive OEM’s – Second Tier car manufacturers, truck manufacturers, RoW car manufacturers SeeQ: EyeQ-based System on PCB

EyeQ-2 Next Generation: Open Architecture Chip ●Open architecture – general programmable and customizable vision chip ●Optimal combination for vision scalar and vector processing on a single die ●Based on Mobileye’s algorithmic knowledge ●Can run simultaneously: pedestrian + vehicle + lane detection + future and customer applications ●Supports dual high-resolution video streams ●Supports video out option including graphics overlay ●Incorporates 11 parallel processors – 2 MIPS-34Kf 333MHz CPUs – 16 channel DMA controller – 8 Vision Computing Engines (VCEs) ●VCEs include 3 extremely powerful and patented Vector Microcode Processors (VMPs) ●Low power consumption (< 3W power) ●Vision processing benchmarking indicates more than 7x TI’s top line DeVinci (DSP & ARM9) and 10x faster than NEC’s top line iMAP Key Breakthroughs Engineering Samples ready in 12/2007 Volvo CADS3

Application:  Lane departure warning  Forward collision warning  Headway monitoring and warning Function  Real time warnings  Driving statistics for driver performance scoring  Event data recording option for commercial fleets Offering a Complete Aftermarket Solution AWS (Advance Warning System): Key Features

10 Yazaki

11 Yazaki