The design of advanced driver assistance systems (ADAS) can be divided into three major stages: environmental perception, intelligent decision-making, and control execution. Among these, sensing technology forms the foundation of ADAS and is a primary focus of research and development for major carmakers and Tier 1 suppliers. The main applications of this technology include Light Detection and Ranging (LiDAR), in-vehicle cameras, and radar.
Table of Contents
1. Key Sensing Technologies for ADAS and Market Size1.1 Environmental Sensing Technologies: Pure Vision vs. Sensor Fusion
1.2 Future Autonomous Driving Demand Boosts Diverse Applications of Environmental Sensing Technologies
2. Automotive Environmental Sensing Technology Trends
2.1 Diversification of Hardware Configurations for ADAS Functions
2.2 Rapid Rise of Chinese Carmakers Drives LiDAR Market Penetration
2.3 Tesla HW4.0 Leaves Room for mmWave Radar Sensing Solutions
2.4 European Traditional Tier 1 Suppliers Leverage Experience to Lead in mmWave Radar
3. The Analyst's Perspective
3.1 LiDAR Technology Applications Affected by Geopolitics
3.2 Pure Vision and Sensor Fusion Solutions Jointly Boost In-Vehicle Camera Installations
Appendix
List of Companies
List of Tables
Table 1: Typical Sensor Configurations for Different Driver Assistance Functions
Table 2: Comparison of Tesla's Autonomous Driving Hardware Specifications
Table 3: Specification Comparison of Valeo's SCALA Series Products
List of Figures
Figure 1: Estimated Market Size of Environmental Sensing Devices
Figure 2: Automotive Camera Industry Chain
Figure 3: Comparison of LiDAR-equipped Vehicles: Launch Years vs. Prices
Figure 4: Average Unit Price Trend of RoboSense ADAS LiDAR Products
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AITO
- Aptiv
- Audi
- Autoliv
- Bosch
- Continental
- Cruise
- Delphi
- GAC
- Geely
- Hella
- Huawei
- IM
- Infineon
- Li Auto
- Mercedes-Benz
- Mobileye
- NIO
- OmniVision
- Onsemi
- RoboSense
- SAIC
- Seyond
- Sony
- Stellantis
- Tesla
- Valeo
- Veoneer
- Volkswagen
- Waymo
- XPeng
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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