-- At present, there are mainly four types of enterprises that dominate the layout in the HD map field: internet firms, auto makers, sensor vendors, and digital map providers. Internet tycoons like Google and UBER have, through acquisitions, obtained map data resources before producing HD maps based on their own algorithms and cloud computing capabilities. Google acquired a large number of digital map providers like Keyhole, Skybox, and Waze. In China, however, ground mapping is a highly confidential sector and therefore sets a higher entry threshold, which gives a big advantage to the Chinese digital map providers and turns away foreign players. Currently, there are 166 internet companies with mapping qualifications in China, and Internet giants like Baidu and Alibaba have through acquisitions occupied an important position in the Chinese map industry. Among them, Baidu purchased RITU and Alibaba bought AutoNavi.
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Auto Makers: Car makers make their presence in HD maps mainly through M&As and self-building. For example, Toyota adopted on board camera data to build HD maps via crowdsourcing, while Mercedes-Benz, Audi, and BMW jointly acquired HERE, a map provider under Nokia. Automakers-led layout could help promote the data traffic between HD maps and autonomous driving. Moreover, auto makers can fully open CAN bus port internally, which would bring benefits to the testing of HD map-based autonomous driving scheme. Sensor Vendors- Using camera chips installed in cars, Mobileye is collecting data through crowdsourcing to make 3D maps. Its Road Experience Management software can identify specific road information like road markings. The bandwidth that it needs is only about 10KB per kilometer. Mobileye’s entry into HD map is to provide turnkey autonomous driving solutions for its future development. Digital Map Providers- Digital map providers, including foreign companies like Apple and TomTom and domestic ones such as Tencent, NavInfo, Xiaomi, and Careland, can complement each other's advantages at a minimum cost. Overall, autonomous driving is now dominated by automakers, and they will not completely open their underlying data on vehicles to HD map providers. Thus, many auto makers (likeAudi, Mercedes-Benz, and BMW), obtain HD map data sources by acquiring digital map providers. In contrast, due to a lack of experience in fault tolerance and underlying data of vehicles, Internet companies end up cooperating with automakers.
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1 Overview of HD Map
1.1 Definition
1.2 Composition
1.3 Features
1.4 Merits
1.5 Classification
2 Map Acquisition Schemes
2.1 Acquisition Modes of General Map
2.1.1 Collection by Walking
2.1.2 Collection by Backpack
2.1.3 Collection by Bicycle
2.1.4 Other Collection Means
2.2 Acquisition Modes of HD Map
2.2.1 Collection by Special Vehicle
2.2.2 Collection by Crowdsourcing
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3 Global HD Map Market
3.1 Overview of Autonomous Driving
3.1.1 Definition and Overview
3.1.2 Development Trend of Autonomous Driving in the World
3.2 Development of HD Map in the World and China
3.2.1 Global
3.2.2 China
3.3 Development Trend
4 Upstream Industry Chain of HD Map
4.1 Lidar
4.1.1 Operating Principle
4.1.2 Composition
4.1.3 Application in HD Map
4.1.4 Market Size
4.2 Camera
4.2.1 Operating Principle
4.2.2 Application in HD Map
4.2.3 Market Size
4.3 Positioning System
4.3.1 Operating Principle
4.3.2 Application in HD Map
4.4 Inertial Navigation System
4.4.1 Operating Principle
4.4.2 Application in HD Map
4.4.3 Market Size
4.5 Algorithms
4.5.1 Path Planning Algorithm
4.5.2 SLAM Algorithm
5 Major Foreign HD Map Providers
5.1 Google
5.1.1 Profile
5.1.2 Operation
5.1.3 Google’s Self-Driving Cars
5.1.4 HD Map Business
5.2 TomTom
5.2.1 Profile
5.2.2 Operation
5.2.3 HD Map Business
5.2.4 HD Map Acquisition Vehicle
5.3 HERE
5.3.1 Profile
5.3.2 Operation
5.3.3 HD Map Business
5.4 Mobileye
5.4.1 Profile
5.4.2 Operation
5.4.3 Products
5.4.4 HD Map Business
6 Key HD Map Providers in China
6.1 Baidu
6.1.1 Profile
6.1.2 Operation
6.1.3 Products
6.1.4 HD Map Business
6.2 AutoNavi
6.2.1 Profile
6.2.2 HD Map Business
6.3 NavInfo
6.3.1 Profile
6.3.2 Operation
6.3.3 Products
6.3.4 HD Map Business
6.3.5 Core Competitiveness
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