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市場調査レポート

自動パーキングの世界市場および中国市場調査:2019年~2020年

Automated/Autonomous Parking Industry Report, 2019-2020

発行 ResearchInChina 商品コード 792805
出版日 ページ情報 英文 160 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=108.65円で換算しております。
自動パーキングの世界市場および中国市場調査:2019年~2020年 Automated/Autonomous Parking Industry Report, 2019-2020
出版日: 2020年04月24日 ページ情報: 英文 160 Pages
概要

中国における乗用車の自動パーキングは、2019年に7.7%となりました。中国の新車(乗用車)のほとんどは2019年に自動駐車用の超音波ソリューションが事前に搭載されていましたが、超音波とビジョンフュージョンソリューションは極めて小さいシェアでした。しかし、第4四半期からは上昇傾向が見られます。

当レポートでは、世界および中国における自動パーキング産業の最新動向と将来展望について分析し、技術と開発動向、車両モデル別の四半期売上ランキング、価格別の設置率、特許申請動向、自動パーキング技術の規格、および主要企業のプロファイルなどをまとめています。

第1章 自動パーキングのコンセプト・技術

  • コンセプト・定義
  • 自動パーキングシステムの構成・技術
  • 開発動向

第2章 自動パーキング市場

  • 新APA対応車両モデルの比率・四半期シェア
  • 新APA対応車両モデルの分類・四半期売上高 (超音波、カメラ、超音波+カメラ)
  • APA対応車両モデルのランキング:売上高別 (自動車ブランド、車両モデル)
  • 主要自動車ブランドのAPAソリューションおよび代表的な車両モデル
  • APAの設置率:価格別
  • APAランキングのトップ30:設置率別 (自動車ブランド別)
  • 超音波APAの四半期設置率:価格別
  • (カメラ+超音波) APAの四半期設置率:価格別
  • 超音波APAの四半期超音波レーダー数
  • APAソリューションランキング:設置率別
  • 自動パーキング特許申請のランキング
  • 中国の乗用車市場における自動パーキングの設置率

第3章 APA/AVPのシナリオ

  • パーキングのシナリオ
  • 駐車スペースの検索
  • 障害物検出
  • 障害物の回避
  • ワンキーカーコーリング
  • ワンキーパーキング

第4章 APS/APA/AVPの技術プロバイダー

  • Valeo
  • Bosch
  • Hyundai Mobis
  • ZongMu Technology
  • UISEE
  • Baidu AVP
  • HoloMatic
  • Intesight
  • Momenta
  • eMapgo
  • Kunchen
  • Motovis
  • Nullmax
  • Space Tech
  • TJD Parking

第5章 OEM APA/AVP アプリケーション・動向

  • Volkswagen
  • Tesla
  • Changan Automobile
  • Geely
  • XPENG Motors
  • SAIC
  • Chery
  • GAC
目次

Why is the installation rate of automated parking not high?

Automated parking was found in 7.7 percent of passenger cars in China in 2019, according to the data from ResearchInChina.

As shown in the table above, most Chinese new passenger cars were pre-installed with ultrasonic solutions for automated parking in 2019; while ultrasonic + vision fusion solution only held tiny shares but saw an uptrend from the fourth quarter.

The moderate assembly rate of automated parking results from the limited scenarios of traditional ultrasonic parking solutions where the driver has to stay in the car. To tackle this problem, there are two ways: better performance of ultrasonic radars and more sensors (such as cameras and millimeter-wave radars).

For instance, the AionS Automated Parking System, which was launched by GAC in the first half of 2019, uses 12 Bosch sixth-generation ultrasonic radars to detect a longer range than the previous generation and probe objects as close as 3cm instead of the original 6cm with faster refresh and agility.

More emerging models such as Changan CS75 PLUS, Geely Xingyue, SAIC Roewe MARVEL X, Chery EXEED, etc. have embarked on ultrasonic + vision fusion parking solutions.

Rare application of ultrasonic + visual fusion solution in the past lies in lack of algorithms and powerful compute. Tesla, the pioneer going intelligent, has long resorted to ultrasonic solutions, and its automated parking capability has not performed well. Even Smart Summon launched in the second half of 2019 is not so successful, either.

Tesla's all models equipped with Autopilot 2.0 carry NVIDIA's Drive PX2 chip which supports the access to up to 6 cameras. Autopilot 2.0 cannot bolster full work of 8 cameras in the car whatever the compute or video ports. Thus, Autopilot 2.0 does not attend to the fusion of ultrasonic + vision automated parking assistant sufficiently.

According to the study by Chris Zheng, Tesla annotates the mid-range camera in the front trifocal camera at 36 frames per second, records the front fisheye camera and four side-view cameras at 9 frames per second, while it temporarily abandons the remaining front long-range camera and rear-view camera. That is to say, when Autopilot is enabled, only 6 cameras in the car are involved in labeling and perception, of which only the front mid-range camera keeps a high perception frequency while the remaining 5 cameras run strenuously with the limited computing power.

Tesla began to develop chips for strong compute. In 2019, Elon Musk unveiled the Autopilot HW 3.0 hardware upgrade powered by Tesla's self-developed FSD chip. The previous version HW2.5 uses Nvidia's Drive PX2 chip. In terms of computing power, the new chip can process about 21 times more images per second than the old one (110 frames per second), at 2,300 frames per second. If all 8 cameras are running at 36 frames per second, the whole vehicle output will be 288 frames per second, which is equivalent to 12.5% of the processing capacity of the FSD chip and is quite sufficient for automated parking.

After solving the computing power, Tesla launched "Smart Summon" at the end of 2019, which is designed to allow the car to drive to the user or an appointed place by the user, maneuvering around objects and parking as necessary. The actual tests prove that Smart Summon still does not work in many cases, indicating that the algorithm needs improvement.

In March 2020, Musk said Tesla would finish work on Autopilot core foundation codes and 3D labelling to provide better algorithms and features for its cars, and then it would unveil "Reverse Summon" soon. Reverse Summon will likely be a mirror feature to Tesla's existing "Smart Summon". Whereas Smart Summon allows the user's car to navigate from its parking space to the user, Reverse Summon likely reverses this. As such, it would conceivably entail that the user's car can drop the user off, and then navigate to a parking space on its own. To ensure safety, Smart Summon works with the Tesla mobile app when the user's phone is located within approximately 65 meters of the car with a projected top speed of 8 km/h.

Taking Tesla as a reference, OEMs and Tier1 suppliers are upgrading automated parking systems.

Desay SV told investors that its automated parking system using the vision + ultrasonic fusion solution (algorithms backed by MOMENTA) has been spawned for Chery EXEED, Geely Xing Yue and other models.

Tesla's new deep neural network will integrate all sub-neural networks including perception, path planning, and target recognition. The cooperation between Desay SV, which is adept at hardware, and MOMENTA, a veteran offer of neural network algorithms, inspires traditional Tier1 suppliers.

Valeo has long led the pack in the APA field, and its vision + ultrasonic fusion solution -- Park4U Remote has been applied to Mercedes-Benz's new S-Class sedans and Changan's new CS75 PLUS. With the powerful remote parking, Changan CS75 PLUS has been a best-seller nowadays.

To cater to the complicated parking scenarios in China, Valeo has prepared different sensor combinations for automated parking: Vision + Ultrasonic Radar Fusion Solution, and Millimeter Wave Radar + Ultrasonic Radar Fusion Solution. In 2020, a number of models using Valeo's automated parking solutions will be launched.

By launching Valeo.ai based in Paris, Valeo aims to host an open community network dedicated to the development of automotive applications in artificial intelligence and deep learning.

Souped-up compute and algorithms are not only necessary for automated parking and AVP systems, but also crucial to cockpit system, connected system, ADAS, etc. This involves changes in the vehicle's E/E architecture, super processors, domain controllers, vehicle OTA, information security, to name a few.

In the next few years, decentralized ECUs will be replaced by domain controllers whose development is often dominated by OEMs and Tier1 suppliers. The space for independent parking controllers is narrowing. For APA / AVP startups, it is of vital importance to improve algorithmic competences and have closer collaborations with Tier1 suppliers.

Table of Contents

1 Automated Parking Concepts and Technologies

  • 1.1 Concepts and Definition
    • 1.1.1 Concepts of Automated Parking and Autonomous Valet Parking
    • 1.1.2 Typical Architecture and Classification of AVP System
    • 1.1.3 Rating and Evolution of Automated Parking
  • 1.2 Composition and Technologies of Automatic Parking System
    • 1.2.1 Composition
    • 1.2.2 Fundamental Principles
    • 1.2.3 Automated Parking System Configuration of Typical Foreign Vehicle Models
  • 1.3 Development Trends of Automated Parking Industry

2 Automated Parking Market

  • 2.1 Proportion and Quarterly Sales Share of New APA-enabled Vehicle Models, 2017Q1-2019Q4
  • 2.2 Classification and Quarterly Sales Volume of New APA-enabled Vehicle Models (by Ultrasonic and Ultrasonic + Camera)
  • 2.3 Ranking of APA-enabled Vehicle Models in 2019 by Sales Volume (by Car Brand and Vehicle Model)
  • 2.4 APA Solutions and Representative Vehicle Models of Major Car Brands
  • 2.5 Installation Rate of APA by Price, 2017Q1-2019Q4
  • 2.6 Top 30 APA Ranking by Installation Rate in 2019 (by Car Brand)
  • 2.7 Quarterly Installation Rate of Ultrasonic APA by Price, 2017Q1-2019Q4
  • 2.8 Quarterly Installation Rate of (Camera + Ultrasonic) APA by Price, 2017Q1-2019Q4
  • 2.9 Quarterly Ultrasonic Radar Number of Ultrasonic APA, 2017Q1-2019Q4
  • 2.10 APA Solution Ranking by Installation Rate in 2019 (by Car Brand)
  • 2.11 Installation Rate of Automated Parking in Chinese Passenger Car Market, 2014-2023E

3 APA/AVP Scenarios

  • 3.1 Parking Scenarios
  • 3.2 Search for Parking Spaces
    • 3.2.1 Introduction
    • 3.2.2 Related Technology
    • 3.2.3 Requirements for Search and Identification
  • 3.3 Obstacle Detection
  • 3.4 Obstacle Avoidance
    • 3.4.1 Static Obstacle Avoidance
    • 3.4.2 Dynamic Obstacle Avoidance
    • 3.4.3 Dynamic Obstacle Avoidance Tests
  • 3.5 Parking into Parking Spaces
    • 3.5.1 Parallel Parking
    • 3.5.2 Vertical Parking
  • 3.6 One-key Car Calling
  • 3.7 One-key Parking

4 APS / APA / AVP Technology Providers

  • 4.1 Valeo
    • 4.1.1 Parking Business
    • 4.1.2 Parking Product Line
    • 4.1.3 Automated Parking Technology Roadmap
    • 4.1.4 Park4U and Cyber Valet Services
    • 4.1.5 Next-generation Park4U Automated Parking System
  • 4.2 Bosch
    • 4.2.1 ADAS/Parking Product Layout
    • 4.2.2 L2 Automated Parking Technology and Implementation
    • 4.2.3 L3-L5 Automated Parking Planning
    • 4.2.4 AVP Projects
    • 4.2.5 AVP Partners
    • 4.2.6 AVP Clients
  • 4.3 Hyundai Mobis
    • 4.3.1 AVPS
    • 4.3.2 AVP and Wireless Charging
  • 4.4 ZongmuTech
    • 4.4.1 Profile
    • 4.4.2 Integrated Solution of Shared Mobility and Autonomous Parking
    • 4.4.3 Product Technology
    • 4.4.4 Partners
    • 4.4.5 Customers
  • 4.5 UISEE
    • 4.5.1 Profile
    • 4.5.2 Autonomous Parking Technolgy Solution and Progress
    • 4.5.3 Implementation of Automated Valet Parking Technology
    • 4.5.4 Partners
  • 4.6 Baidu AVP
    • 4.6.1 Introduction to Baidu AVP
    • 4.6.2 Features of AVP Technology
    • 4.6.3 Car-Cloud-Map-Field Fusion Solution
    • 4.6.4 AVP Security Framework
  • 4.7 HoloMatic
    • 4.7.1 Profile
    • 4.7.2 New Parking Products
    • 4.7.3 Latest Dynamics
  • 4.8 Intesight
    • 4.8.1 Profile
    • 4.8.2 Parking System Development Plan
    • 4.8.3 Product Technology
    • 4.8.4 Deep Learning Framework and Parking Space Data Collection
  • 4.9 Momenta
    • 4.9.1 Profile
    • 4.9.2 Priority Scenarios of Autonomous Driving
    • 4.9.3 Autonomous Parking Solution
    • 4.9.4 Intelligent Parking Roadmap
  • 4.10 Kunchen
    • 4.10.1 Profile
    • 4.10.2 Autonomous Driving Positioning Solution
    • 4.10.3 AVP Application Solution Based on UWB Technology
    • 4.10.4 Autonomous Driving Application Cases
    • 4.10.5 Roadmap of Location Products for Autonomous Driving
  • 4.11 ForViSiON
  • 4.12 Motovis
    • 4.12.1 Profile
    • 4.12.2 VSLAM Technology
    • 4.12.3 APA and AVP Technical Solutions
    • 4.12.4 Latest Dynamics of Automated Parking
  • 4.13 Nullmax
    • 4.13.1 Profile
    • 4.13.2 Focus on Application Software Layer
    • 4.13.3 Product Plan
  • 4.14 Space Tech
    • 4.14.1 Profile
    • 4.14.2 Automated Parking Technology Solutions
    • 4.14.3 Cross-border Strategic Cooperation
  • 4.15 TJD Parking

5 OEM APA/AVP Application and Trends

  • 5.1 Volkswagen
    • 5.1.1 Introduction to Automated Parking System
    • 5.1.2 Automated Parking Testing and Parking Services
  • 5.2 Tesla
    • 5.2.1 Features of MODEL 3 Automated Parking
    • 5.2.2 Features of MODEL S Automated Parking
    • 5.2.3 Features of Smart Summon
    • 5.2.4 Detailed Functionality of Smart Summon
  • 5.3 Changan Automobile
    • 5.3.1 Automated Parking Layout
    • 5.3.2 Features of APA5.0
    • 5.3.3 Precautions of APA5.0
    • 5.3.4 Features of Remote Parking via Mobile Phone
  • 5.4 Geely
    • 5.4.1 Automated Parking Development Plan
    • 5.4.2 "Crawler" Intelligent Parking System
    • 5.4.3 Features of Xing Yue Automated Parking
    • 5.4.4 Precautions of Xing Yue Automated Parking
  • 5.5 XPENG Motors
    • 5.5.1 Introduction to Automated Parking System
    • 5.5.2 Automated Parking Technology
    • 5.5.3 Parking Space Recognition and Memory
    • 5.5.4 Limitations of G3 Automated Parking
  • 5.6 SAIC
    • 5.6.1 Roewe's APA and AVP
    • 5.6.2 Self-learning Parking Assistant System
    • 5.6.3 Remote Parking
    • 5.6.4 Last-mile Autonomous Parking System
  • 5.7 Chery
    • 5.7.1 Progress of Chery APA/AVP
    • 5.7.2 Introduction to EXEED Automated Parking
    • 5.7.3 Features of EXEED Automated Parking
    • 5.7.4 Precautions of EXEED Automated Parking
  • 5.8 GAC
    • 5.8.1 APA and AVP
    • 5.8.2 Features of AION Automated Parking System