DOCSLIB.ORG

Mobileye Today Driving the Future of Mobility

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Mobileye Today Driving the Future of Mobility Mobileye Then & Now 1999 Mobileye is founded on the belief that computer vision can be harnessed to save lives by making roads safer 1999-2004 Founders open first R&D center and together with a team of engineers and a total workforce of under 150 employees pioneer ADAS powered by a single monocular camera – an industry first 2004 Mobileye debuts first generation EyeQ, a custom System-on-a-Chip designed to interpret the environment around a vehicle in order to R&D for single camera-powered ADAS camera-powered single for R&D prevent and mitigate impending collisions. The chip is the first of its kind, enabling camera and radar fusion and powering features such as Lane Departure Warning 2006 Aftermarket division launches to bring retrofit ADAS to cars already on the road 2007 EyeQ2 debuts, offering the industry Mobileye camera-based ADAS hits Pedestrian Automatic Emergency braking, the road with BMW, GM and Volvo Camera-Only Forward-Collision Warning, and production launches Camera-Only Automatic Cruise Control – each an industry first 2010 Mobileye ADAS technology in 36 vehicle models across 7 OEMs 2012 1 Millionth Chip Sold 2007-2012 Mobileye becomes number one supplier of vision-based ADAS 2014 EyeQ3 launch brings to market for the first Mobileye goes public on the NYSE with a time Camera-Only AEB, Animal Detection $5.3B IPO and $80M in revenue. Its public and Traffic Light Detection markets debut marks the largest IPO of an World leading driver assist technology provider technology assist driver leading World Israeli company ever Mobileye quickly gains ADAS market segment share 3 million vehicles on the road 160 car models 2015 Mobileye’s EyeQ chip annual volume grows from 182,000 units in 2010 to 4.4 million in 2015 2016 Mobileye unveils Road Experience Mapping™ (REM) - its crowdsourced mapping solution for autonomous driving (CES 2016) 2017 EyeQ annual volume doubles in two years Mobileye goes beyond ADAS by revealing to 8.7M chips shipped strategy for addressing three pillars of autonomous driving: Sensing, Mapping, Mobileye publishes Responsibility - and Driving Policy Sensitive Safety (RSS) – a formal model of safe and scalable self-driving. The model serves as a starting point for the industry Acquired by Intel for $15.3B – the largest to collaborate on defining what it means acquisition of an Israeli company ever. for an autonomous vehicle to drive safely The deal contributes 4% to Israel’s GDP Solutions for mapping & safety mapping for Solutions 2018 Mobileye announces joint venture with EyeQ production continues to grow as Volkswagen and Champion Motors for ADAS proliferates, with 12.4M chips shipped commercial self-driving ride-hailing service in Israel by 2022 EyeQ4 is introduced, enabling L2+ by Mobileye creates map covering all 15,000 providing vehicles with mapping capabilities miles of Japan's expressways in under 24 using REM, Driving Policy software, vehicle hours using REM from data harvested by detection from any angle and next Mobileye equipped vehicles over only a generation lane detection two-week time period Mobileye introduces L2+, a new semi-autonomous category that applies Mobileye self-driving technology to ADAS on the road today 2019 Mobileye is the world leader in ADAS Mobileye-powered Level 4 autonomous vehicles begin testing on public roads in one 40M cars on the road of the world’s most challenging driving 300+ car models enviorment: Jerusalem 27 OEM partners (compared to 7 in 2010) Mobileye data solutions gain traction with Mobileye introduces Intelligent Mobility new customers and partners, including the Solutions, a new division offering data UK’s national mapping agency, Ordnance solutions based on data from Survey, using Mobileye technology to map ADAS-equipped vehicles and translated roadside assets into insights for smart cities, autonomous driving and more Working toward becoming a full autonomous mobility a provider autonomous full becoming toward Working ADAS adoption drives revenue growth to More than 500 patents awarded to Mobileye $200m in Q2 2019 since its founding Mobileye reveals Mobility-as-a-Service Mobileye workforce more than doubles from (MaaS) ambitions, detailing plans for 2017 to 2019 to 1,800 employees, compared to global autonomous robotaxi service under 150 employees ten years earlier Mobileye Today Driving the Future of Mobility .
Load more

Recommended publications
  • Intel and Mobileye Autonomous Driving Solutions
    PRODUCT BRIEF Autonomous Driving Intel and Mobileye Autonomous Driving Solutions Together, Mobileye and Intel deliver scalable and versatile solutions using purpose-built software and efficient, powerful compute that will make autonomous driving an economic reality. Total Technology and Resources Making the self-driving car a reality requires an unprecedented integration of technology and expertise. Together, Mobileye and Intel provide comprehensive, scalable solutions to enable autonomous driving engineered for safety and affordability. With a combination of industry-leading computer vision, unique algorithms, crowdsourced mapping, efficient driving policy, a mathematical model designed for safety, and high-performing, low-power system designs, we deliver a versatile road map that scales to millions, not thousands, of vehicles. Purpose-built software and hardware Mobileye’s portfolio of innovative software across all pillars of autonomous driving (the “eyes”) complements Intel’s high-performance computing and connectivity expertise (the “brains”). This winning package supports complex and computationally intense vision processing with low power consumption, creating powerful and smart autonomous driving solutions from bumper to cloud. We start with revolutionary software from Mobileye that includes: • Low-cost, 360-degree surround-view computer vision • Crowdsourced Road Experience Management™ (REM™) mapping and localization • Sensor fusion, integrating surround vision and mapping with a multimodal sensor system • Efficient, semantic-based artificial intelligence (AI) for driving policy (decision-making) • A formal safety software layer via our Responsibility Sensitive Safety (RSS) model This advanced software calls for a powerful compute platform. We use a combination of proven Mobileye EyeQ® SoCs for computer vision, localization, sensor fusion, trajectory planning, and our RSS model designed for safety, as well as Intel® processors for translation of the planned trajectory into commands that are issued to the vehicle’s actuation system.
    [Show full text]
  • Safe and Secure Model-Driven Design for Embedded Systems Letitia Li
    Safe and secure model-driven design for embedded systems Letitia Li To cite this version: Letitia Li. Safe and secure model-driven design for embedded systems. Embedded Systems. Université Paris-Saclay, 2018. English. NNT : 2018SACLT002. tel-01894734 HAL Id: tel-01894734 https://pastel.archives-ouvertes.fr/tel-01894734 Submitted on 12 Oct 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Approche Orientee´ Modeles` pour la Suretˆ e´ et la Securit´ e´ des Systemes` Embarques´ These` de doctorat de l’Universite´ Paris-Saclay prepar´ ee´ a` Telecom ParisTech Ecole doctorale n◦580 Denomination´ (STIC) NNT : 2018SACLT002 Specialit´ e´ de doctorat: Informatique These` present´ ee´ et soutenue a` Biot, le 3 septembre` 2018, par LETITIA W. LI Composition du Jury : Prof. Philippe Collet Professeur, Universite´ Coteˆ d’Azur President´ Prof. Guy Gogniat Professeur, Universite´ de Bretagne Sud Rapporteur Prof. Maritta Heisel Professeur, University Duisburg-Essen Rapporteur Prof. Jean-Luc Danger Professeur, Telecom ParisTech Examinateur Dr. Patricia Guitton
    [Show full text]
  • Autonomous Vehicle Technology: a Guide for Policymakers
    Autonomous Vehicle Technology A Guide for Policymakers James M. Anderson, Nidhi Kalra, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, Oluwatobi A. Oluwatola C O R P O R A T I O N For more information on this publication, visit www.rand.org/t/rr443-2 This revised edition incorporates minor editorial changes. Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-0-8330-8398-2 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2016 RAND Corporation R® is a registered trademark. Cover image: Advertisement from 1957 for “America’s Independent Electric Light and Power Companies” (art by H. Miller). Text with original: “ELECTRICITY MAY BE THE DRIVER. One day your car may speed along an electric super-highway, its speed and steering automatically controlled by electronic devices embedded in the road. Highways will be made safe—by electricity! No traffic jams…no collisions…no driver fatigue.” Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous.
    [Show full text]
  • Certain Vision-Based Driver Assistance System Cameras, Components Thereof, and Products Containing the Same
    In the Matter of CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTS THEREOF, AND PRODUCTS CONTAINING THE SAME 337-TA-907 Publication 4866 February 2019 U.S. International Trade Commission Washington, DC 20436 U.S. International Trade Commission COMMISSIONERS Meredith Broadbent, Chairman Dean Pinkert, Vice Chairman Irving Williamson, Commissioner David Johanson, Commissioner Rhonda Schmidtlein, Commissioner Address all communications to Secretary to the Commission United States International Trade Commission Washington, DC 20436 1,----- .______U.S. _____ International Trade Commission I Washington, DC 20436 www.usitc.gov In the Matter of CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTS THEREOF, AND PRODUCTS CONTAINING THE SAME 337-TA-907 Publication 4866 February 2019 UNITED STATES INTERNATIONAL TRADE COMMISSION Washington, D.C. 20436 In the Matter of Investigation No. 337-TA-907 CERTAIN VISION-BASED DRIVER ASSISTANCE SYSTEM CAMERAS, COMPONENTSTHEREOF,AND PRODUCTS CONTAINING THE SAME NOTICE OF THE COMMISSION'S DETERMINATION FINDING NO VIOLATION OF SECTION 337; TERMINATION OF THE INVESTIGATION AGENCY: U.S. International Trade Commission. ACTION: Notice. SUMMARY: Notice is hereby given that the U.S. International Trade Commission has found no violation of section 337 of the Tariff Act of 1930, 19 U.S.C. § 1337, in the above-captioned investigation, and has terminated the investigation. FOR FURTHER INFORMATION CONTACT: Amanda P. Fisherow, Office of the General Counsel, U.S. International Trade Commission, 500 E Street, S.W., Washington, D.C. 20436, telephone (202) 205-2737. The public version of the complaint can be accessed on the Commission's electronic docket (EDIS) at http://edis.usitc.gov, and will be available for inspection during official business hours.
    [Show full text]
  • MOBILEYE What’S Next from CTO Amnon Shashua and His Benchmark ADAS Tech?
    AUTOMOTIVE ENGINEERING! Argonne Labs’ nano-coating banishes friction, self-heals New sensor ICs critical for safety Nissan’s latest Titanic truck cab All eyes on MOBILEYE What’s next from CTO Amnon Shashua and his benchmark ADAS tech? March 2017 autoengineering.sae.org New eye on the road One of the industry’s hottest tech suppliers is blazing the autonomy trail by crowd-sourcing safe routes and using AI to learn to negotiate the road. Mobileye’s co-founder and CTO explains. by Steven Ashley With 15 million ADAS-equipped vehicles worldwide carrying Mobileye EyeQ vision units, Amnon Shashua’s company has been called “the benchmark for applied image processing in the [mobility] community.” mnon Shashua, co-founder and Chief image-processing ‘system-on-a-chip’ would be enough to reliably ac- Technology Officer of Israel-based Mobileye, complish the true sensing task at hand, thank you very much. And, it tells a story about when, in the year 2000, would do so more easily and inexpensively than the favored alternative he first began approaching global carmakers to radar ranging: stereo cameras that find depth using visual parallax. Awith his vision—that cameras, processor chips and software-smarts could lead to affordable advanced driver-assistance systems (ADAS) and eventually to zFAS and furious self-driving cars. Seventeen years later, some 15 million ADAS-equipped vehicles “I would go around to meet OEM customers to try worldwide carry Mobileye EyeQ vision units that use a monocular to push the idea that a monocular camera and chip camera. The company is now as much a part of the ADAS lexicon as could deliver what would be needed in a front-facing are Tier-1 heavyweights Delphi and Continental.
    [Show full text]
  • Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective
    Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington B.S. Mechanical Engineering (2011) University of Pittsburgh Submitted to the System Design and Management Program in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management at the Massachusetts Institute of Technology September 2020 © 2020 James T. Pennington All rights reserved The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Signature of Author ____________________________________________________________________ System Design and Management Program August 7, 2020 Certified by __________________________________________________________________________ Bruce G. Cameron Thesis Supervisor System Architecture Group Director in System Design and Management Accepted by __________________________________________________________________________ Joan Rubin Executive Director, System Design & Management Program THIS PAGE INTENTIALLY LEFT BLANK 2 Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington Submitted to the System Design and Management Program on August 7, 2020 in Partial Fulfillment of the Requirements for the Degree of Master of Science in System Design and Management ABSTRACT A major method of acquiring the rights to technology is through the procurement of intellectual property (IP), which allow companies to both extend their technological advantage while denying it to others. Public databases such as the United States Patent and Trademark Office (USPTO) track this exchange of technology rights. Thus, IP can be used as a public measure of value accumulation in the form of technology rights.
    [Show full text]
  • INTEL CORPORATION (Exact Name of Registrant As Specified in Its Charter) Delaware 94-1672743 State Or Other Jurisdiction of (I.R.S
    UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-K (Mark One) þ ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the fiscal year ended December 29, 2018. or ¨ TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to . Commission File Number 000-06217 INTEL CORPORATION (Exact name of registrant as specified in its charter) Delaware 94-1672743 State or other jurisdiction of (I.R.S. Employer incorporation or organization Identification No.) 2200 Mission College Boulevard, Santa Clara, California 95054-1549 (Address of principal executive offices) (Zip Code) Registrant’s telephone number, including area code (408) 765-8080 Securities registered pursuant to Section 12(b) of the Act: Title of each class Name of each exchange on which registered Common stock, $0.001 par value The Nasdaq Global Select Market* Securities registered pursuant to Section 12(g) of the Act: None Indicate by check mark if the registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. Yes þ No ¨ Indicate by check mark if the registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act. Yes ¨ No þ Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days.
    [Show full text]
  • World Leader in Advanced Driver Assistance Technology And
    Towards Autonomous Driving World Leader in Advanced Driver Assistance Technology and Autonomous Driving Nearly 70 vehicle models, 27 OEMs, 30 design wins (in 2016 there were 12 design wins) New Design Wins 2017 Main Features Tier Main Features Tier 1 1 AEB EUNCAP 2018, LDW Valeo AEB, LDW Hirain 30 Design Wins AEB, ACC, LKA ZF-TRW AEB, LDW, ACC Hirain AEB, VOACC, LKA ZF-TRW AEB, LDW, ACC Mando 27 OEMs AEB EUNCAP 2020, Traffic Jam Assist, Aptiv AEB, ACC, LKA Hirain Road Profile ~70 car models AEB, ACC, LKA, FreeSpce ZF-TRW LDW, FCW Hirain AEB, LKA Aptiv AEB, ACC, LKA, TJA Hirain AEB, ACC, HLB, FreeSpace Mando AEB, ACC, LKA, Lane Changes DIAS AEB, ACC, FreeSpace, Road Edge KSS AEB, LDW, ACC Hirain AEB, ACC, LKA, TSR Nidec AEB, LKA, ACC Hirain Base: L2/3 premium: L3/4 NIO AEB, ACC, LKA, Lane Changes KSS AEB, VOACC, Glare Free HB, 3D VD, ZF-TRW AEB, LDW, ACC Hirain REM AEB, pedal confusion, Enhanced LKA ZF-TRW AEB, LDW, ACC Hirain AEB EUNCAP 2020, Traffic Jam Assist, Valeo Full EUNCAP2020 compliance, Valeo Road Profile 3D VD, FreeSpce, Objects AEB, LDW Aptiv AEB, LKA, ACC ZF-TRW AEB EUNCAP 2020 & NHTSA, Road Magna L3, surround, Road Profile, REM Aptiv 2017 Review Program Launches 2017 Installed by 2017 year end GM Super Cruise Audi zFAS Nissan ProPilot OEM Launch Special Features Tier 1 GM CSAV2 AEB (fusion), LKA, HLB, TJA, Super Cruise™ ZF-TRW Audi AEB, LKA, HLB, RoadProfile, zFAS A8 Aptiv Ford AEB (fusion), LKA, HLB, TJA Aptiv HKMC AEB (fusion), LKA, HLB Mando PSA wave 2 AEB (vision only), VOACC, LKA, RoadProfile ZF-TRW Nissan Propilot (vision
    [Show full text]
  • Reconfigurable Processor for Deep Learning in Autonomous Vehicles
    ITU Journal: ICT Discoveries, Special Issue No. 1, 25 Sept. 2017 RECONFIGURABLE PROCESSOR FOR DEEP LEARNING IN AUTONOMOUS VEHICLES Yu Wang 1∗2∗, Shuang Liang3∗, Song Yao2∗,Yi Shan2∗, Song Han2∗4∗, Jinzhang Peng2∗ and Hong Luo2∗ 1∗Department of Electronic Engineering, Tsinghua University, Beijing, China 2∗Deephi Tech, Beijing, China 3∗Institute of Microelectronics, Tsinghua University, Beijing, China 4∗Department of Electrical Engineering, Stanford University, Stanford CA, USA "CTUSBDU The rapid growth of civilian vehicles has stimulated the development of advanced driver assistance systems (ADASs) to beequipped in-car. Real-time autonomous vision (RTAV) is an essential part of the overall system, and the emergenceofdeeplearningmethodshasgreatlyimprovedthesystemquality,whichalsorequirestheprocessortooffera computing speed of tera operations per second (TOPS) and a power consumption of no more than 30 W with programmability. Thisarticlegivesan overview of the trends of RTAV algorithms and different hardware solutions, and proposes a development route for thereconfigurable RTAV accelerator. We propose our field programmable gate array (FPGA) based system Aristotle, together with an all-stack software-hardware co design workflow including compression, compilation, and customized hardwarearchitecture. Evaluation shows that our FPGA system can realize real-time processing on modern RTAV algorithms with a higher efficiency than peer CPU and GPU platforms. Our outlookbasedontheASIC-basedsystemdesignandtheongoingimplementationofnextgenerationmemorywouldtargeta 100TOPSperformancewitharound20Wpower. Keywords - Advanced driver assistance system (ADAS), autonomous vehicles, computer vision, deep learning, reconfig- urable processor 1. INTRODUCTION If you have seen the cartoon movie WALL-E, you will re- member when WALL-E enters the starliner Axiom following Eve, he sees a completely automated world with obese and feeble human passengers laying in their auto driven chairs, drinking beverages and watching TV.
    [Show full text]
  • Mobileye in Numbers Eyeq Shipped Over
    CES 2020 Engines Powering L2+ to L4 Mobileye in Numbers EyeQ Shipped Over 5EyeQs shipped4 toM date Running % CAGR Programs 46In EyeQ shipping since 2014 47Globally across 26 OEMs In 2019: Design Product Wins Launches 3328M units over life 16 Industry first 100° camera with Honda 4 high-end L2+ wins with 4 VW high-volume launch (Golf, Passat) major EU and Chinese OEMs Mobileye Solution Portfolio Covering the Entire Value Chain 2025 2022 L3/4/5 Today L4/ L5 Passenger cars Mobility-as-a-Service Today L2+/ L2++ Consumers Autonomy Full Autonomy L1-L2 ADAS SDS to OEMs Conditional Autonomy Full-Service provider-owning Chauffeur mode Scalable proposition for the entire MaaS stack Driver assistance Front vision sensing Scalable robotaxi SDS design for REM HD map a better position in the privately Front camera SoC & SW: SDS to MaaS operators owned cars segment AEB, LKA, ACC, and more May also include: Driver monitoring, surround SDS as a Product vision, redundancy “Vision Zero”- RSS for ADAS Data and Crowdsourcing data from ADAS for REM® HD mapping for AV and ADAS Mapping Providing smart city eco system with Safety/Flow Insights and foresights Visual perception The ADAS Segment Evolution L2+ - The Next Leap in ADAS The opportunity L2+ global volume expectation (M) Source: Wolfe research, 2019 L2+ common attributes 13 Multi-camera sensing HD maps Multi-camera front 63% CAGR sensing to full surround 3.6 L2+ functionalities range from L2+ - significant added value in comfort, not only safety Everywhere, Everywhere, Higher customer adoption and willingness
    [Show full text]
  • Intel CES 2018 Booth Demonstrations
    CES 2018 Booth Demonstrations AUTOMATED DRIVING Autonomous Driving Mega Experience Data is what enables the autonomous vehicle (AV) to see, hear and otherwise experience what’s going on in the world around them. Through projection mapping and haptic seat effects, we will take visitors on an immersive ride through the eyes of an autonomous vehicle and showcase the various facets, sensors and technologies that gives the vehicle focused but near-human processing power to make the nuanced realities on the road manageable. Participants will journey through a world where vehicles will do the work of driving, freeing up time for us to do other things. The demo has seating for up to nine guests and is designed to feel like a car. Much like an exhibit in a museum or a ride in a theme park, the demonstration will mimic key sensations like wind and city experiences to help attendees better understand how data moves through the car and the city. Inside Autonomous Experience Discover how Intel and Mobileye are accelerating automated driving solutions from the individual components to the larger flow of data. This experience allows attendees to approach an acrylic transparent vehicle with sensors that respond to their presence. Display monitors built in the car will highlight Intel, Mobileye and other technologies that make autonomous driving safer and more reliable, as well as highlighting in-vehicle experience (IVE). The combination of Intel and Mobileye allow Mobileye’s leading computer vision expertise (the “eyes”) to complement Intel’s high-performance computing and connectivity expertise (the “brains”) to create safer and more affordable automated driving solutions from the bumper to the cloud.
    [Show full text]
  • Intelligent Road Infrastructure Houston Has Been One of the Fastest Growing Cities in the U.S for Over a Decade
    PAVING THE WAY FORWARD Intelligent Road Infrastructure Houston has been one of the fastest growing cities in the U.S for over a decade. In order to accommodate this growth, we are augmenting our traditional traffic systems with best in class technology working alongside leaders in IoT, AI, 5G and Cloud. Sylvester Turner MAYOR OF HOUSTON, TEXAS With increased urbanization and vehicles globally, the future of smart road systems/infrastructure must help reduce pedestrian, bicyclist, and road traffic fatalities and serious injuries. Through investments in technologies like AI and 5G, pushing open-standards and influencing policy, Intel is helping power a transformation in roads and highways, by enabling innovative solutions for safer, greener, and more efficient roads. Sameer Sharma GLOBAL GENERAL MANAGER IOT, INTEL CORPORATION AUTHOR Suman A Sehra Global Director, IoT Smart Cities and Transportation, Intel Corporation PROJECT MANAGER Alessandro Rugge IoT Smart Cities & Transportation, Intel Corporation CONTRIBUTORS Intel Government Policy: Nancy Bell, Government IoT Policy Attorney; John Roman, Technical Policy Specialist Intel Standards: Dr.-Ing. Leonardo Gomes Baltar, Senior Standards and Research Engineer Intel Labs: Ignacio J Alvarez, Senior Research Scientist Automated Driving, Intel Labs Intel Mobileye: Shoshana Nacass, Product Marketing Manager, Data Services, IMS Division, Mobileye Sales: Michael McDonald, Technical Solutions Specialist, Autonomous & Mobility Sales (SMG); Syamak Nazary, Global Sales Director, Transportation Technical
    [Show full text]