1. ビジョン・システム・インテリジェンスの
自律運転の基礎的要素の最新情報サービス
The Building Blocks of Autonomous Control
By: Phil Magney, Founder & Principal Advisor
Dec 2015

2. 会社紹介：ビジョン・システム・インテリジェンス
Vision Systems Intelligence (VSI)
• 代表 ：Phil Magney
アイサプライ、IHS等のオートモーティブ・アナリスト・ディレクタを歴任
IT業界で３０年の経歴
experienced director of automoGve analyst at iSuppli and IHS, More than 30 years in IT industries
• アナリスト：Phil以下、専任で8名 8 full Gme analysts including Phil
ADAS、自律運転、センサー、半導体、ビッグデータ解析
ADAS, Autonomous Driving, Sensor, Semiconductor, Big Data analysis
• 本社：米国ミネソタ州ミネアポリス HQ :Minneapolis MN, USA
• サービス Services :
• プロファイラ （サプライヤデータベース）Vision Systems Profiler (database of suppliers)
• 市場分析と分析レポート（隔週）Vision Systems Insight (bi-weekly analysis and Insight)
• OEMデータベース（2016 1Q予定）Vision Systems OEM Database (1Q2016) : オプション OpGon

3. 自律運転の基礎的要素の最新・最先端の情報を収集 Building Blocks of Autonomous Driving, aggregaGng the latest and leading edge Info
• センサー； ローコスト化と安全の確保：モノ、ステレオ3D,、多重焦点、タイムオブフライト
Sensors ;Low cost for convenience and safety features. Lots of configuraGons – mono, stereo 3D, Tri-focal, and ToF ranging
• マシン・ビジョン； アクティブセーフティ、自律運転、ドライバモニタの為の物体検知や認識
Machine Vision -- Object detecGon and recogniGon is vital for acGve safety, autonomous control, and driver monitoring
• 自律運転 ; センサーフュージョン、フォルト・トレラント
Autonomous Control Technologies – sensor fusion and fault tolerant control systems
• HMI ； コネクティビティ、ADAS、自律運転の進化に伴う革新、例） HUD、仮想現実
ドライバモニタ
InnovaGon being driven by connecGvity, ADAS and autonomous control: HUD, AR-HUD, driver monitoring
• 社内ネットワークの進化 ; Flexray, CAN FD, Ethernet AVB
In Vehicle networks pushed to limits, moving to Flexray, CAN FD and Ethernet AVB
• V2X ; アクティブセーフティと自律制御による革新
V2X – InnovaGons being driven by acGve safety and autonomous control features

4. What is Driving Auto Tech?
Source: ARM Holdings

5. ビジョン・システム・インテリジェンスのサービスでできること
Vision Systems Intelligence – Research Portal
1. 系統的且つ論理的な手法（経験豊富なアナリストとビッグデータ解析）で企業、製品、
ニュースを継続してトラッキングして蓄積
This is a research method that links companies, products, and events together for a systemaGc and logical method for tracking acGve safety and autonomous control technologies.
2. 関連する情報を入手して分析（製品、技術、仕様、最新のIP、全ての市場動向） The
method captures any informaGon that is relevant for the study of acGve safety and autonomous control technologies: (products, technologies, specificaGons, new IP, and overall market
developments)
3. 次々に現れる企業や最先端技術を時流に取り残されずに追跡するお手伝い
There are hundreds of companies and thousands of products – hardware, so`ware, tools, etc. -- It is impossible to stay current on companies, products and technologies without a dedicated
effort. With VSI services you will be able to…
本サービスのメリット Interests provided by this service
• 重要なトレンドと発展をすばやくキャッチすること Understand important trends and developments
• 新しいサプライヤの革新的なテクノロジーを見つけ出すことDiscover new innovaGons from emerging technology suppliers
• ポテンシャルのあるサプライヤやパートナーを探し出すことIdenGfy potenGal suppliers or partners
• 御社の部品やシステムの開発により良いアイディアをご提供すること Develop a beder framework for the
development of your components or systems
• トップメーカが何をしているか、常に把握できること
（アップル、グーグル、テスラ、GM、BMW等） Stay on top on who is doing what (Apple, Google, Tesla, GM, BMW…

6. Sensors & Network Requirements Example
The amount of bandwidth necessary to handle raw data from all sensors is a big
challenge for designers of ac6ve safety of autonomous control systems!

7. LiDAR SoluJons Price Trend
LiDAR is sGll expensive but coming down rapidly. Low cost solid state LiDAR units are
entering the market now
$50,000+ $10,000 $5,000 $1,000 $100

8. ビジョン・システム・プロファイラのサービスの仕組み
Vision Systems Profiler – Structure of Services
Processors
Sensors
Test/
Model/
Simulate
So`ware
Controller
Vehicles
Search By Company Name
Search by Product Name
業界レポートIndustry
Reports
ニュースNews
考察Insights
ビデオVideo
企業名での検索 Result is Company Profile Page
製品名での検索 Result is Product Profile Page
データベースとは別のウエブ上で閲覧
できる技術概要、最新ニュース
企業プロファイルの最新情報
Separate reports (Technology Briefs, News, and Expanded Company Profiles)
データベースの種類
VSI’s database is an invaluable resources for
designing developing or building advanced
safety systems or autonomous control
features.
• Sensor and modules
• Sensor development kits
• Sensor fusion kits
• Vision processors
• Domain controllers
• Algorithm development tools
• So`ware tools for modeling &
simulaGon
• So`ware tools for test &
validaGon

9. データベース例 database example
Autonomous Vehicle Technologies
Autonomous Solutions
Autonomous
Vehicle
Technologies
Research Portal
Exclusively for:
Your Company Name
Here
Autonomous Vehicles
Autonomous Cars Summary
Audi Autonomous
Bosch Autonomous
Continental Autonomous
Delphi Autonomous
Ford Autonomous
GM Autonomous
Google Autonomous
Honda Autonomous
Ibeo Autonomous
LUTZ Autonomous
Mercedes Autonomous
Navya Autonomous
Company Profiles
AdasWorks Profile
Autonomoustuff Polysync Profile
Baselabs Profile
Cruise Automation Profile
dSpace Profile
Elektrobit Profile
Intempora Profile
MathWorks Profile
Mobileye Profile
Phantom Intelligence Profile
Quanergy Profile
TASS Profile
1 Copyright 2015, Vision Systems Intelligence, LLC October 29, 2015
Autonomous Solution Report
Nissan Intelligent Driving
Autonomous Vehicle Activities in General
Nissan hopes to leverage NASA’s expertise in technology and robotics into building reliable and safe
autonomous vehicles. One of the technologies that NASA will likely use is its Robot Application
Programming Interface Delegate (RAPID), open source software that simplifies communications
between robots and their command-and-control systems. RAPID has been used with walking and flying
robots, as well as in an experiment involving a wheeled rover on Earth controlled from the International
Abstract:
Autonomous Drive (now named Nissan Intelligent Driving) is a key strategy as Nissan is claiming
to bring fully autonomous cars to the market by 2020. Cars with fully automated parking ability
and traffic jam assist were promised by late 2016 and autonomous highway driving by 2018.
At the beginning of 2015 Nissan entered a 5-year partnership with NASA’s Ames Research Center
to develop the technology necessary for fully autonomous vehicles. Nissan is also leveraging the
resources of MIT, Stanford, Oxford, Carnegie Mellon, and the University of Tokyo.
According to Nissan, autonomous drive combines the technology of robotics, artificial
intelligence, sensors, and car-to-car connectivity. It is a range of technologies that will be added
to Nissan cars over the next several years.
Going in series production, Nissan will introduce L2 autonomous technology into its model line-
up by late 2016.
Sensing and Perception:
The newest Nissan Intelligent Driving – Piloted Driving 1.0 Leafs have 12 cameras, 5 radars, 4
LiDARs, and perhaps hundreds of ultra-sonic sensors.
Nissan has developed it’s own miniature, high-spec laser scanner for Piloted Driving 1.0.
The previous autonomous Leaf embedded six LiDAR modules—around the car in corner body
panels and into rear-passenger doors—each one providing resolution to 1 centimeter, according
to Nissan.
Ibeo has been involved with the project. Quanergy Systems, another maker of LiDAR units, is
also known to be working with the Nissan-Renault Alliance.
Other sensors included: 3 radars (one in front and 2 in back), 5 cameras, and 12 sonars.
Mobileye is known as a supplier of imaging technology to Nissan.
例えば、Autnomous SoluJonを選
ぶとAutonmous Vehiclesと
Company Profileの一覧が
表示され、Nissan Autonmousを選
ぶとその詳細レポートが表示され
ます。
既存情報の更新と新規情報の追
加を常時、継続します。

10. ニュース、レポートの例 Example
ニュ ース
アクティブ・セーフティと自律運転制御向け統合ブレ
ーキ・コントローラ
prnewswire.com · 18 days ago · VSI NEWS
より速いレスポンス・タイムに依存する自動車安全性と自律制御システムに対応してブレーキ
技術は変化しています。ZF TRW社は強化した性能を提供しながらもブレーキ・システム・ア
ーキテクチャを簡略化する真空単独技術を採用する統合ブレーキ・コントロール・システム
(IBC)を最近発表しました。TRW社のIBCは2018年に量産されます。IBCは単一の集積ユニット
の中で低真空或いは無真空構成が必要なバキューム・ブースタや関連するケーブル、センサ、
スイッチ、電子コントローラやバキューム・ポンプを伴う横滑り防止装置(ESC)にとって代わり
ます。それはAセグメントのスモール・カーから大型SUV(スポーツ・ユーティリティ・ビーク
ル）までブレーキ・システムに対する要求に高度に対応可能なソリューションです。
フォード社5年以内にレベル4のテストを提案
wired.com · 18 days ago · VSI NEWS
Wired(雑誌）の記事によると、フォード社は特に緊急時にコンピュータから運転者にどのよう
に安全にハンドルを渡すかの技術に向けて大きな挑戦の一つを行うことを示す為、レベル3を
スキップしたいと考えています。 運転に注意を払わなくてもよいという自律運転の利点を運転
者に与えると同時にクルマが処理できない何かに出会った場合に、運転者がハンドルを握る用
意があるかを確実しなくてはならないという両面を持ちます。アウディ社は試験では運転者が
注意に気づきハンドルを握るまでライトが点滅し音声で警告を出しても平均3∼7秒、長くて10
秒かかることを示しています。フォード社はミシガン州のディアボーンでフュージョン・ハイ
ブリッドのフリートをテストしていますが、地元から更にテストを拡張していきたいと望んで
います。更に、フォード社は5年以内に完全自律運転のクルマを提供したいと真剣に考えていま
す。
自律運転は保険業界にも動揺と衝撃をもたらす
youtube.com · 19 days ago · VIDEO
このビデオは保険業界の関わりと同様に自律運転車の進化への大きな
展望を見せます。「自律運転車2015年、再保険業界のリスクと好機」
がニューヨーク州のスイス・リー再保険会社で開かれました。プログ
ラムは技術、法規制、保険の３つの主題から成ります。
ニュース
PREMIUM CONTENT
AVAILABLE
VSI offers a service called the Vision Systems Profiler –
a database with information on all key suppliers and
developers of product and IP related to the design
development of vehicle perception systems and
autonomous control features.
There are hundreds of companies and thousands of
products – hardware, software, tools, etc. -- It is
impossible to stay current on companies, products
and technologies without a dedicated effort. With VSI
services you will be able to:
Quickly identify potential suppliers or partners
Better understand the value chain for active
safety or autonomous control
Develop a better framework for the development
of your systems
Discover new innovations faster with insight on
emerging products & companies
Stay on top on who is doing what -- from
components to complete vehicles
VSI covers the whole value chain, from sensors
to complete systems
VSI information covers active safety and
autonomous for passenger light vehicle
applications as well as commercial vehicles
For more information about Vision Systems
Profiler, sign up below for a prospectus and
subscription information:
L AT E S T P R E M I U M C O N T E N T
Automotive Cybersecurity: Examining The Entry
Points
MISRA C: What You Need to Know
Autonomy Through Platoons
Automotive Supply Chain: The Emerging Role of
EMS Providers
VISION SYSTEMS INTELLIGENCE
ニュース（無料）News Free
hEps://visionsystemsintelligence.com
レポート（会員のみ）Subscriber Only
hEps://visionsystemsintelligence.com

11. コンタクト Contact
日本総代理店
株式会社イーセル
〒190－0023 東京都立川市柴崎町１－１７－２３
hdp://www.e-cell.jp
担当：谷 taetani@e-cell.jp

12. 補足 Backup

13. Product or IP
Autonomous Vehicles
Domain Controllers (parGal to full autonomy)
Components (processor and related)
Sensors (image, ranging, posiGon, InerGa, cloud)
Machine Vision, Machine Learning, Vision AnalyGcs
So`ware (Run Time Related)
So`ware Tools (design, simulaGon, tesGng,
validaGon)
Simulators (for driver interacGon tesGng)
Development Kits
Company InformaJon
Name
Abstract
Relevancy
Products
Customers
Resource Links
InnovaJons, InvenJons,
Announcements
Company
When and Where
Abstract
Why This Maders
Resource Link
Event Profiles Product Profiles Company Profiles
Company Records Product Records Event Driven Records
Method for Tracking AcJve Safety & Autonomous Control

14. Companies/OrganizaGons
Product 2
• Abstract
• Relevancy
• Claims
• Product Details
• Resource Links
Product 1
• Abstract
• Relevancy
• Claims
• Product Details
• Resource Links
Product Concept 1
• Abstract
• Relevancy
• Claims
• Product Details
• Resource Links
Product Concept 2
• Abstract
• Relevancy
• Claims
• Product Details
• Resource Links
Event Driven News/Announcement
• Abstract of news/announcement
• When and where was this informaGon provided
• Why this maders
• Other relevant informaGon
• Resource Links
Event Driven News/Announcement
• Abstract of news/announcement
• When and where was this informaGon provided
• Why this maders
• Other relevant informaGon
• Resource Links
Event Driven News/Announcement
• Abstract of news/announcement
• When and where was this informaGon provided
• Why this maders
• Other relevant informaGon
• Resource Links
All product records are mapped to a company record. Event driven news/announcements are mapped to one or more companies
and may be mapped to one or more products. Event driven content may also be only mapped to a company and not a product.
AssociaGon of records will be done by company name first and product name second. Event driven content will always be mapped
to a company. Academic organizaGons will be profiled
Method for Tracking AcJve Safety & Autonomous
Control SoluJons
100+ companies
profiled with
iniGal release
200+ event driven
insights with iniGal
release
200+ products/IP
profiled with
iniGal release

15. Parent – Mobileye
Child – Mobileye Series 5
Parent – ON Semiconductor
VSI Sample – Supplier Database
Child – MT9V024
Supplier
Product
Links
Product
Links

16. Company Info: Mobileye N.V.
Abstract Mobileye is a technology company that develops
vision-based advanced driver assistance systems
for collision prevenGon and miGgaGon. Mobileye
N.V. is headquartered in the Netherlands, with a
R&D Center in Jerusalem, Israel, and sales and
markeGng offices in Jericho, New York; Shanghai,
China; Tokyo, Japan and Düsseldorf, Germany.
Relevancy
HIGH
Mobileye is the leading supplier of vision systems
for automoGve. Furthermore, Mobileye has stated
their intenGon to pursue the building blocks for
autonomous vehicles.
Products Mobileye sells both OEM vision systems as well as
a`ermarket soluGons. Mobileye’s soluGons are
based on 4 generaGons of proprietary HW and SW
IP that include vision processors (SoCs) as well as
the algorithms for object detecGon and object
recogniGon.
Mobileye just introduced its forth generaGon
processor (EyeQ4) that has the capacity to serve
autonomous vehicle control by mulGple camera
and sensor inputs.
Customers Mobileye has 23 OEM supplier contracts including
GM, BMW, Hyundai, Ford, Audi, Subaru, Mazda,
Tesla, Nissan, Toyota, Volkswagen, SsangYong,
PSA, SAIC. Some contracts are unannounced.
Resource Links Mobileye Web Site
Mobileye processing platorm
Mobileye Company PresentaGon Video
Latest Quarterly Analyst Briefing
Product Info: Mobileye EyeQ4
Product Type Processor for Piloted Driving
Product Name EyeQ4
Relevancy
HIGH
The EyeQ4 is one of the few processors that has
the ability to support mulGple sensor inputs. The
device supports the company’s latest trifocal
camera applicaGons as well as range sensing via
LiDAR or Radar.
Abstract The EyeQ4 is Mobileye’s latest generaGon SoC
processor designed to support advanced vision
and sensing as well as provide enough processing
to support vehicle autonomy. The device is in
compliance with EU NCAP, US NHSTA and other
regulatory requirements. The processor supports
up to trifocal camera fusion with radars and
scanning-beam lasers.
Product Claims The EyeQ4 processor will sample in 2015 but not
ship in volume unGl 2018. According to the
company the EyeQ4 is about 10 Gmes faster than
EyeQ3. The EyeQ4 has 4 CPU cores with 4
hardware threads each, coupled with s6 cores of
Mobileye’s Vector Microcode Processors (VMP).
The EyeQ4 will also introduce novel accelerator
types: two MulGthreaded Processing Cluster
(MPC) cores and two Programmable Macro Array
(PMA) cores.
Resource Links EyeQ4 Announcement
EyeQ4 Block Diagram
Announcement: Deep Learning
Announcement Mobileye announces intenGon to
develop deep learning algorithms to
support autonomous features.
When and Where Mobileye analyst briefing February
27, 2015. New York
Relevancy
HIGH
Deep learning algorithms have the
ability to learn and get beder over
Gme. Deep learning requires
supercomputer performance but
the company claims they now have
that with their latest EyeQ4
processor.
Why This
MaAers
Self learning will become important
element of vehicle autonomy.
Because the environment is always
changing a staGc classifier algorithm
cannot adjust to changes. Deep
learning purportedly accomplishes
this though constant training of new
classifiers. The iniGal launch of
these funcGons will begin later this
year with support for the EyeQ3
processor.
Other Relevant
InformaDon
Related
Mobileye says they support free
space and holisGc path planning,
something necessary for vehicle
autonomy.
Resource Links Detail on Deep Learning
EE Times on Deep Learning
VSI Sample – Mobileye EyeQ4 Release