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ADAS/自動運転車の関連産業の分析、2018年 (VI):自動運転商用車

ADAS and Autonomous Driving Industry Chain Report 2018 (VI) - Commercial Vehicle Automated Driving

発行 ResearchInChina 商品コード 677948
出版日 ページ情報 英文 195 Pages
納期: 即日から翌営業日
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ADAS/自動運転車の関連産業の分析、2018年 (VI):自動運転商用車 ADAS and Autonomous Driving Industry Chain Report 2018 (VI) - Commercial Vehicle Automated Driving
出版日: 2018年08月14日 ページ情報: 英文 195 Pages
概要

中国でも諸外国と同様に、トラックなどの商用車の自動運転技術の開発・試験走行が積極的に進められています。最初は、港湾でのトラックの低速・自動走行から試験運転を開始し、実用化に向けた課題の解決を進めていく、と考えられています。また、トラック・プラトゥーニング関連の試験も進行中です。

当レポートでは、世界と中国における商用車向け自動運転技術の開発・普及動向と将来展望について分析し、自律走行商用車の業界構造や、自動運転商業者の技術水準/開発段階/コスト、トラック向け技術 (トラック・プラトゥーニング) の概要、外資系/国内系の自動運転ソリューションの概略、外資系/国内系商用車メーカーによる自動運転技術の開発・運用状況などについて調査しております。

第1章 自動運転商用車産業の概要

  • アクティブセーフティとADASの装備が必須となる
  • 貨物輸送向け商用車の安全仕様
  • アクティブセーフティ・ADAS関連の国内法
  • 自動運転商用車のリファレンス・アーキテクチャ
  • 自動運転商用車の進化
  • 自動運転商用車の典型的な活用シナリオ
  • 自動運転商用車の典型的な活用シナリオ向けの技術ソリューション
  • 自動運転トラックのロードマップ
  • 自動運転商用車の主な課題
  • トラック産業における問題の多くは、自動運転によって解決可能である
  • 港湾用無人トラック

第2章 自動運転商用車の技術・段階・費用

  • 自動運転商用車の技術開発の段階
    • 商用車の自動運転技術:認識・意思決定・制御
    • 自動運転トラックの主な技術
    • 想定され得る自動運転商用車の発展経路
    • トラックの自動運転技術:段階別
    • L0〜L5における機能
  • 商用車に必要なADASの機能
    • トラック向けADASの最も根本的な機能
    • Volvoの商用車向けADAS機能
  • 自動走行トラックのコスト
    • 自動運転トラックが運用コストに及ぼす影響
    • 自動運転トラック:3通りの利用事例
    • 自動運転車の費用回収期間の計算:実用化の場合
    • プラトゥーニングが費用回収期間に及ぼす影響
  • 自動走行トラックの課題と影響
    • トラック業界内のステークホルダーへの影響
    • 各種のステークホルダーに対する技術的なプッシュ要因

第3章 商用車向けプラトゥーニング (隊列走行)

  • トラック・プラトゥーニングの概要
    • 自動運転トラックのプラトゥーニング:主な構成要素
    • トラック・プラトゥーニング技術:トラックのネット接続
    • トラック・プラトゥーニング技術:CACC (協調型アダプティブクルーズコントロール)
    • 自動車プラトゥーニング技術:ACC・CACCからコネクテッドプラトゥーニングへ
    • トラック用CACCシステムのデザイン構造
    • 協調型トラック・プラトゥーニングの空気力学
  • トラック・プラトゥーニング市場の参入企業
    • 大型フリート・オペレーターの、プラトゥーニングに関する競争力
    • プラトゥーニング分野の参入企業の一覧
  • トラック・プラトゥーニングのビジネス上・社会上の価値
  • トラック・プラトゥーニングの工程
  • 欧州におけるトラック・プラトゥーニングの発展
    • 欧州におけるトラック・プラトゥーニングのロードマップ
    • ETPC (European Truck Platooning Challenge)
    • 欧州のトラック・プラトゥーニング計画:Sweden4Platooning
    • 欧州のトラック・プラトゥーニング計画:ENSEMBLE
    • フィンランド・ノルウェーでのトラック・プラトゥーニング試験
  • 米国国内のトラック・プラトゥーニング計画
    • FHWA-FMCSAのトラック・プラトゥーニング試験
    • 9つの州が試験走行を許可し、20以上の州が関心を抱く

第4章 自動運転商用車向け自動運転ソリューション:外資系のプロバイダー

  • Starsky Robotics
  • Embark
  • Peloton Technology
  • BestMile
  • Oxbotica
  • Einride
  • KeepTruckin
  • INRIX
  • WABCO
  • Kodiak

第5章 自動運転商用車向け自動運転ソリューション:国内系のプロバイダー

  • Tianjin Tsintel Technology Co., Ltd.
  • Beijing TuSimple Future Technology Co., Ltd.
  • Shanghai Westwell Information Technology Co., Ltd.
  • Hangzhou Zhuying Technology Co., Ltd./Fabu Technology Limited
  • PlusAI Inc.
  • TrunkTech
  • Changsha Intelligent Driving Research Institute
  • Henan Huhang Industry Co., Ltd.
  • G7

第6章 外資系企業における、自動運転技術の事業構造

  • Volkswagen (VW)
  • PACCAR
  • Volvo
  • Daimler
  • SCANIA

第7章 国内系企業における、自動運転技術の事業構造

  • Beiqi Foton Motor Co., Ltd.
  • Dongfeng Motor Corporation
  • China National Heavy Duty Truck Group Co., Ltd. (SINOTRUCK)
  • FAW Jiefang Automotive Co., Ltd.
  • Shaanxi Automobile Holdings Limited
  • SAIC-IVECO Hongyan Commercial Vehicle Co., Ltd.
  • Zhengzhou Yutong Bus Co., Ltd.
  • Xiamen King Long United Automotive Industry Co., Ltd.
  • CRRC Corporation Limited
目次

ADAS and Autonomous Driving Industry Chain Report 2018 - Commercial Vehicle Automated Driving, about 195 pages, covers the following:

  • Overview of autonomous commercial vehicle industry
  • Technologies, stages and costs of autonomous commercial vehicle
  • Truck platooning autonomous driving
  • Foreign commercial vehicle automated driving solution providers
  • Chinese commercial vehicle automated driving solution providers
  • Layout of foreign commercial vehicle makers in autonomous driving
  • Layout of Chinese commercial vehicle makers in autonomous driving

With the enforcement of the new standard Safety Specifications for Commercial Bus, the commercial vehicle ADAS market in China springs up, and start-ups such as Roadefend, Maxieye, Minieye and INVO have earned the revenue of tens of millions or even hundreds of millions of yuan.

In terms of autonomous commercial vehicle, solution providers such as Westwell Lab, TrunkTech, PlusAI, TuSimple and FABU Technology have arisen. Most of them are committed to unmanned port trucks with autonomous container truck solutions. In China, there are more than 20,000 container trucks at ports, and each driver is paid about RMB300,000 per year, an opportunity for autonomous driving replacement.

There are many challenges for the access of autonomous driving to any particular scenario. For instance, driverless container trucks need to be in line with the production logic and dock management system of ports and interact with bridge cranes, tire cranes and other equipment. It sounds like autonomous driving along fixed routes. In fact, a new driving environment will be created in less than half a day after the containers stacked at ports are hoisted back and forth.

Autonomous commercial vehicles are first seen as port container trucks, which is quite similar to low-speed automated vehicle applied for driverless delivery. Closed areas, low-speed driving, the rising labor costs as well as the developed e-commerce and logistics in China are all driving factors.

Commercial vehicle automated driving solution providers often partner with commercial vehicle manufacturers to enter a target market.

After the first-kilometers and last-kilometers unmanned freight market starts, the much larger freeway autonomous truck market will grow in a progressive way. Initially, autonomous trucks will be realized through platooning -- the first truck is manipulated by a driver while the following trucks are not.

Platooning will go through CACC, Platooning, Connected Platooning and other stages.

Europe is a leader in platooning. Individual carmakers conduct Platooning tests, and multiple automakers organize cross-brand trucks for driving tests and even hold European Truck Platooning Challenge. There is an urgent need for Chinese companies to catch up in this field.

The amazingly huge autonomous driving market is full of difficulties and challenges to ground, and the commercialization process is slower than expected. Fortunately, the Chinese market has witnessed the world's largest number of autonomous driving start-ups that work closely with traditional automakers to step into various segments and solve all technical problems around the clock. Like Chinese electric vehicle market which is the largest in the world, China's autonomous driving market is bound to be the biggest one around the globe.

Table of Contents

1 Overview of Commercial Vehicle Automated Driving Industry

  • 1.1 Active Safety and ADAS Become Mandatory Requirements
  • 1.2 Safety Specifications for Commercial Vehicle for Cargo Transportation (2018)
  • 1.3 Domestic Laws on Active Safety and ADAS
  • 1.4 Reference Architecture of Commercial Vehicle Automated Driving
  • 1.5 Evolution of Commercial Vehicle Automated Driving
  • 1.6 Typical Application Scenarios of Commercial Vehicle Automated Driving
  • 1.7 Technical Solutions for Typical Application Scenarios of Commercial Vehicle Automated Driving
  • 1.8 Roadmap of Commercial Truck Automated Driving
  • 1.9 Key Challenges of Commercial Vehicle Automated Driving
  • 1.10 Most Problems in Truck Industry Can Be Solved via Automated Driving
  • 1.11 Port Driverless Truck

2 Technology, Stages and Costs of Commercial Vehicle Automated Driving

  • 2.1 Technology and Development Stages of Commercial Vehicle Automated Driving
    • 2.1.1 Commercial Vehicle Automated Driving Technology: Perception, Decision-making and Control
    • 2.1.2 Key Technologies of Autonomous Truck
    • 2.1.3 Expected Development Paths of Automated Commercial Vehicle
    • 2.1.4 Truck Automated Driving by Stage
    • 2.1.5 Functions in L0-L5
  • 2.2 ADAS Functions Required by Commercial Vehicle
    • 2.2.1 The Most Fundamental ADAS Functions on Truck
    • 2.2.2 ADAS on Volvo Commercial Vehicles
  • 2.3 Costs of Truck Automated Driving
    • 2.3.1 Impact of Truck Automated Driving on Operating Costs
    • 2.3.2 Three Application Cases of Truck Automated Driving
    • 2.3.3 Calculation of Payback Period of Automated Driving in Application Cases
    • 2.3.4 Impact of Vehicle Platooning on Payback Period
  • 2.4 Challenges and Influence of Automated Truck
    • 2.4.1 Impact on Stakeholders in Truck Industry
    • 2.4.2 Technology Push of Different Stakeholders

3 Commercial Vehicle Platooning Autonomous Driving

  • 3.1 Overview of Truck Platooning
    • 3.1.1 Key Components for Autonomous Truck Platooning
    • 3.1.2 Truck Platooning Technology: Truck Connection
    • 3.1.3 Truck Platooning Technology: CACC (Cooperative Adaptive Cruise Control)
    • 3.1.4 Vehicle Platooning Technology: from ACC, CACC to Connected Platooning
    • 3.1.5 Design Structure of Truck CACC System
    • 3.1.6 Cooperative Truck Platooning Aerodynamics
  • 3.2 Participants in Truck Platooning
    • 3.2.1 Competitive Edges of Large Fleet Operators in Platooning
    • 3.2.2 List of Participants in Platooning Field
  • 3.3 Business and Social Value of Truck Platooning
  • 3.4 Procedures of Truck Platooning
  • 3.5 Development of Truck Platooning in Europe
    • 3.5.1 Roadmap of Truck Platooning Automated Driving in Europe
    • 3.5.2 European Truck Platooning Challenge (ETPC)
    • 3.5.3 Multi-brand Truck Platooning Programs in Europe
    • 3.5.4 Truck Platooning Program in Europe: Sweden4Platooning
    • 3.5.5 Truck Platooning Program in Europe: ENSEMBLE
    • 3.5.6 Finland-Norway Truck Platooning Test
  • 3.6 Truck Platooning Programs in the United States
    • 3.6.1 FHWA-FMCSA Truck Platooning Program
    • 3.6.2 Nine States Allow Tests and Over 20 States Are Interested in It

4 Foreign Providers of Commercial Vehicle Automated Driving Solutions

  • 4.1 Starsky Robotics
    • 4.1.1 Technology Solutions
  • 4.2 Embark
    • 4.2.1 Embark AI System
  • 4.3 Peloton Technology
    • 4.3.1 Peloton Team
    • 4.3.2 Peloton Truck Platooning System
    • 4.3.3 Peloton PlatoonPRO
    • 4.3.4 Peloton + Omnitracs Strengthen Fleet Management and Platooning
    • 4.3.5 Industry Leaders' Investment into Peloton Technology
    • 4.3.6 FCAM Reduces Rear-end Collisions by 71%
  • 4.4 BestMile
    • 4.4.1 Core Engine of BestMile Mobility Platform
    • 4.4.2 System Architecture of BestMile Mobility Platform
    • 4.4.3 APP of BestMile Mobility Platform
    • 4.4.4 BestMile's Solutions for Autonomous Fleet Management
    • 4.4.5 Application of BestMile's Products to Autonomous Bus
    • 4.4.6 BestMile's Specific Solutions: Ride-hailing and Micro-transit
    • 4.4.7 Integration under Multi-mode Environment
    • 4.4.8 Value Chain, Customers and Partners of BestMile
    • 4.4.9 Cooperative Projects of BestMile
  • 4.5 Oxbotica
    • 4.5.1 Oxbotica's Products
    • 4.5.2 Oxbotica's Automated Driving Programs
  • 4.6 Einride
    • 4.6.1 T-Pod and T-Log
  • 4.7 KeepTruckin
    • 4.7.1 KeepTruckin's Products
  • 4.8 INRIX
    • 4.8.1 INRIX AV Road Rules Platform
  • 4.9 WABCO
    • 4.9.1 Development Course
    • 4.9.2 Layout in Automated Driving Products
    • 4.9.3 OnGuardACTIVE
    • 4.9.4 ADAS System
    • 4.9.5 Industry Leader
  • 4.10 Kodiak

5 Chinese Commercial Vehicle Automated Driving Solution Providers

  • 5.1 Tianjin Tsintel Technology Co., Ltd.
    • 5.1.1 Tsintel's Commercial Vehicle AEB
    • 5.1.2 Architecture and Application Cases of Tsintel's Commercial Vehicle AEB Systems
    • 5.1.3 Tsintel's Automated Driving Solutions for Specific Scenarios
  • 5.2 Beijing TuSimple Future Technology Co., Ltd.
    • 5.2.1 Core Technologies and Position
    • 5.2.2 TuSimple Makes Inroad into the Field of Port Container Truck Autonomous Transportation
  • 5.3 Shanghai Westwell Information Technology Co., Ltd.
    • 5.3.1 Core Technologies
    • 5.3.2 Products and Applications
  • 5.4 Hangzhou Zhuying Technology Co., Ltd./Fabu Technology Limited
    • 5.4.1 Core Technologies
    • 5.4.2 Products and Development Strategy
  • 5.5 PlusAI Inc.
    • 5.5.1 Core Technologies and Application Scenarios
    • 5.5.2 Application Cases
  • 5.6 TrunkTech
    • 5.6.1 TrunkTech's Autonomous Electric Trucks
  • 5.7 Changsha Intelligent Driving Research Institute - A Supplier of Intelligent Logistics Vehicles and Systems
    • 5.7.1 Heavy Truck Automated Driving Solutions
  • 5.8 Henan Huhang Industry Co., Ltd.
    • 5.8.1 Coach Application Solution
    • 5.8.2 Bus Application Solution
    • 5.8.3 Hazardous Chemicals Transport Vehicle Application Solution
    • 5.8.4 Truck Application Solution
    • 5.8.5 Learner-driven Vehicle Application Solution
  • 5.9 G7

6 Automated Driving Layout of Foreign Commercial Vehicle Companies

  • 6.1 Volkswagen (VW)
    • 6.1.1 VW's Automated Driving Projects
    • 6.1.2 AdaptIVe Project
    • 6.1.3 L3PILOT Project
    • 6.1.4 Roadmap of Mobility Services and Products
    • 6.1.5 MaaS Commercial Vehicles
    • 6.1.6 Autonomous Truck Layout
    • 6.1.7 MAN SE's Autonomous Trucks for Highway Construction
  • 6.2 PACCAR
    • 6.2.1 Share in Heavy Truck Market and Industry Ranking
    • 6.2.2 Financial Data
    • 6.2.3 New Products and Technologies
    • 6.2.4 Automated Driving Technologies and Truck Platooning
  • 6.3 Volvo
    • 6.3.1 Financial Status by Division
    • 6.3.2 Mass-produced Active Safety Systems
    • 6.3.3 Future Trucks
    • 6.3.4 Layout of Commercial Vehicle Automated Driving
  • 6.4 Daimler
    • 6.4.1 Layout of Commercial Vehicle Automated Driving
    • 6.4.2 SuperTruck 1 Project - Development Roadmap
    • 6.4.3 SuperTruck 1 Project - Overview
    • 6.4.4 SuperTruck 2 Project - Challenges
    • 6.4.5 SuperTruck 2 Project - Development Steps
    • 6.4.6 SuperTruck 2 Project - Stages
    • 6.4.7 Autonomous Truck Layout and Partners
    • 6.4.8 Autonomous Truck ADAS Roadmap
  • 6.5 SCANIA
    • 6.5.1 Financial Status, 2013-2017
    • 6.5.2 Operating Business and Market Status
    • 6.5.3 Automated Driving Solutions
    • 6.5.4 Autonomous Trucks and Bus Solutions
    • 6.5.5 Autonomous Tramcar, Truck and Bus
    • 6.5.6 Automated Driving Test
    • 6.5.7 Autonomous Truck Platooning

7 Automated Driving Layout of Chinese Commercial Vehicle Companies

  • 7.1 Beiqi Foton Motor Co., Ltd.
    • 7.1.1 Strategic Clients and Global Partners
    • 7.1.2 Foton and Baidu Cooperated to Launch Autonomous Trucks
    • 7.1.3 Foton Acquired China's First Commercial Vehicle Automated Driving Test License
    • 7.1.4 Foton's Intelligent Driving Layout
    • 7.1.5 Foton's Commercial Vehicle Ecosystem
  • 7.2 Dongfeng Motor Corporation
    • 7.2.1 Dongfeng's Commercial Vehicle Application Scenario Planning
    • 7.2.2 Intelligent Vehicle Planning of Dongfeng Liuzhou Motor Co., Ltd.
  • 7.3 China National Heavy Duty Truck Group Co., Ltd. (SINOTRUCK)
  • 7.4 FAW Jiefang Automotive Co., Ltd.
  • 7.5 Shaanxi Automobile Holdings Limited
  • 7.6 SAIC-IVECO Hongyan Commercial Vehicle Co., Ltd.
  • 7.7 Zhengzhou Yutong Bus Co., Ltd.
  • 7.8 Xiamen King Long United Automotive Industry Co., Ltd.
  • 7.9 CRRC Corporation Limited
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