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Next-generation Perception Sensors for Autonomous Driving in North America and Europe, Forecast to 2030
Next-generation Perception Sensors for Autonomous Driving in North America and Europe, Forecast to 2030
Next-generation Perception Sensors will be Introduced with Driver-out-loop Features, and Uptake of These Sensors will Increase with the Launch of Level-4 Vehicles
15-Jun-2020
North America
Description
Increase in adoption of advanced driver assistance systems and evolution in autonomy has intensified the need to sense and perceive vehicle surroundings entirely and accurately. With the rise in the level of autonomy, the number of perception sensors will increase to provide complete 360o perception of vehicle surroundings and an additional layer of redundancy to the data collected by each sensor.
While existing sensors do the required jobs, each of them have a number of limitations to perform in extreme weather and light conditions. Level 3 and above autonomy require the sensors to detect objects at long range, identify and classify objects, and need high-resolution capabilities to develop high-definition map of the surrounding environment. While most sensor evolutions are trying to address the above-discussed challenges offering high reliability and robustness, it is also critical to address challenges such as packaging the sensor on a vehicle, maintaining the sensor to cope with external conditions, and offering a competitive price.
Traditionally Tier-1 suppliers have been manufacturing sensors for effective functioning of a vehicle. The challenges posed by ADAS and autonomous driving have encouraged multiple hardware and solution developers to develop sensor hardware, AI-based software, and wholesome perception solutions. Some key disruptors in the perception sensor industry offer embedded and hardware-agnostic software platforms to integrate other sensors for sensor fusion and other value-added solutions to enhance the capability of sensors and provide holistic perception solutions.
Key Features
The objective of this study is to research, analyze, and forecast the market for emerging perception sensing solutions in the global autonomous driving market and also assess future growth and developments in the market. The study encompassed sensors for passenger vehicles, commercial vehicles, pods, and shuttles. The geographical scope is North America (the US and Canada) and Europe (Germany, Italy, France, Spain, Belgium, the Netherlands, Luxembourg, Denmark, Norway, Sweden, Finland, and the UK).
Key Issues Addressed
- What are the types of perception sensors used in ADAS and autonomous driving?
- What are the roadmaps perception sensors and what are the future generations of the perception sensors?
- How does the sales forecast of each sensor look like?
- Which are the key disruptors developing next generation sensing technology?
- What are the performance capabilities of each perception sensor?
- What does the ecosystem of each sensor look like?
- What are the OEM sensor suite strategies of key OEMs for L4 and L5 autonomous driving?
Table of Contents
Key Highlights
Rise of Sensor Requirements with Functionalities by Levels of Autonomy
Existing Sensor Suite Offerings—Supplier Comparison
Sales Forecast to 2030
Key Disruptors—New-generation Sensing
Key Conclusions
Research Scope
Key Questions to Answer for the Automotive Industry
Research Aims and Objectives
SAE Definitions
Types of Perception Sensors
Rise of Sensor Requirements with Functionalities by Levels of Autonomy
Need for Perception Sensor Evolution
Radar Module—Types and Application
Existing Radar Supplier Comparison
Technology Evolution—Radar Module
Sales Forecast to 2030—Radar
Performance Capabilities—Radar Module
Radar Ecosystem
Key Disruptors—Radar Module
Key Disruptors—Radar Module (continued)
Cognitive Pilot—4D Imaging Radar
Metawave—SPEKTRA™ Platform
Arbe—Phoenix, Ultra-high Resolution 4D Imaging Radar
Visible Camera Modules—Types and Application for ADAS
Infrared Camera Modules—Types and Application
Existing Camera Supplier Comparison
Technology Evolution—Visible Camera Module
Sales Forecast to 2030—Visible Camera Module
Visible Camera Performance Capabilities
Camera Ecosystem
Key Disruptors—Camera Module
Foresight—QuadSight Technology
Outsight—3D Semantic Camera
SmartEye—Driver Monitoring
LiDAR Modules—Types and Application
Supplier Comparison
Technology Evolution—LiDAR Module
Sales Forecast to 2030—LiDAR
LiDAR Performance Capabilities
LiDAR Module Ecosystem
Key Disruptors—LiDAR Module
Key Disruptors—LiDAR Module (continued)
Quanergy—3D Time-of-flight LiDAR
RoboSense—LiDAR Perception Solution
XenoLidar—3D LiDAR
Ultrasonic Sensors—Types and Application
Technology Evolution—Ultrasonic Sensors
Sales Forecast to 2030—Ultrasonic Sensors
Ultrasonic Sensors—Performance Capability
Toposens—Ultrasonic 3D Echolocation Sensor
Growth Opportunity—Investments and Partnerships from OEMs/TSPs
Strategic Imperatives for Success and Growth
Key Conclusions
Legal Disclaimer
Market Engineering Methodology
Abbreviations and Acronyms
List of Exhibits
List of Exhibits (continued)
List of Exhibits (continued)
Key Features
The objective of this study is to research, analyze, and forecast the market for emerging perception sensing solutions in the global autonomous driving market and also assess future growth and developments in the market. The study encompassed sensors for passenger vehicles, commercial vehicles, pods, and shuttles. The geographical scope is North America (the US and Canada) and Europe (Germany, Italy, France, Spain, Belgium, the Netherlands, Luxembourg, Denmark, Norway, Sweden, Finland, and the UK).
Key Issues Addressed
- What are the types of perception sensors used in ADAS and autonomous driving?
- What are the roadmaps perception sensors and what are the future generations of the perception sensors?
- How does the sales forecast of each sensor look like?
- Which are the key disruptors developing next generation sensing technology?
- What are the performance capabilities of each perception sensor?
- What does the ecosystem of each sensor look like?
- What are the OEM sensor suite strategies of key OEMs for L4 and L5 autonomous driving?
| No Index | No |
|---|---|
| Podcast | No |
| Author | Varun Krishna Murthy |
| Industries | Automotive |
| WIP Number | MF0B-01-00-00-00 |
| Is Prebook | No |
| GPS Codes | 9800-A6,9807-A6,9813-A6,9B13-A6 |