Technology Enables High Accuracy in Environmental Perception and Finds Applications across Automotive, Healthcare, Marine, and Manufacturing
Sensor fusion is needed to ensure low latency in mission-critical applications such as autonomous vehicles and for effective decision-making by smart devices. Sensor fusion combines and processes multiple signals from various sources, carries out raw data fusion, and analyzes the data before enabling an effective response from the system about the perceived environment.
Sensor fusion finds its prime applications in the automotive industry for advanced driver assistance system (ADAS) applications, such as automatic emergency braking and adaptive cruise control. However, the technology’s ability to work in a dynamic environment, such as in autonomous vehicles, expands its applicability into the healthcare (smart hospitals), manufacturing (paving the way for lights-out manufacturing), and smart city industries.
The top imperatives for sensor fusion companies are threefold: first, make direct investments in not only development activities but in minimizing the cost of hardware; second, simplify architectures; and third, engage in market expansion, which would prove critical to extending the technology’s applicability. As its availability increases, its cost will decrease.
Key Questions Answered in This Study:
- What is sensor fusion?
- What does the sensor fusion technology application landscape look like for different industry verticals? What are the sensor fusion architectures across key industries?
- What are the influencing factors driving opportunities for sensor fusion?
- What are the technical capabilities of sensor fusion?
- What are the industry best practices?
- What are the IP scenario and funding analysis implications?
- What are the growth opportunities and critical success factors for this technology?
Table of Contents
1. Strategic Imperatives
- Why Is It Increasingly Difficult to Grow?
- The Strategic Imperative 8™: Factors Creating Pressure on Growth
- The Impact of the Top Three Strategic Imperatives on Sensor Fusion Technology
- About the Growth Pipeline Engine™
- Growth Opportunities Fuel the Growth Pipeline Engine™
2. Growth Opportunity Analysis
- Scope of Technology and Innovation Research
- Research Methodology
- Research Process and Methodology
- Key Findings
3. Sensor Fusion: Technology Landscape
- Sensor Fusion, Technology Overview
- Different Types of Sensor Fusion Based on Data Origination
- Typical Algorithms Used in Sensor Fusion Include Physical Model, Parameter-based, and Cognition Model Algorithms
- Reduced Latency and High Resilience to Errors Are Critical Advantages of Sensor Fusion
- Key Applications: Automotive, Manufacturing, and Healthcare
- Other Applications: Autonomous Ships in Marine, an Emerging Application Area
- Sensor Fusion Technology for Connected Living
- Sensor Fusion Aids in More Effective Patient and Hospital Staff Management in Healthcare
- Sensor Fusion in Autonomous Vehicles Occurs during Perception
- Centralizing Sensor Fusion Intelligence Enables Sensor Size Reduction
- Sensor Fusion Uses Different Sensor Inputs for Environmental Perception
- Sensor Fusion Provides Context Awareness for IoT
4. Factors Influencing Sensor Fusion Adoption
- Growth Drivers
- Growth Restraints
5. Industry Best Practices: Strategic Partnerships, Mergers & Acquisitions, New Product Launches, and Patent Analysis
- Strategic Partnerships in the Field of Autonomous Vehicles
- Strategic Alliances to Deliver New Capabilities in IoT, Consumer Electronics, and Automotive Markets
- Mergers and Acquisitions Lead to Larger Initiative by LeddarTech to Create an Ecosystem
- Mergers and Acquisitions Directed at Enabling a New Era of Technology
- New Product Launches Focus on Maintenance, Monitoring, and Automotive Developments
- New Product Launches in Sensor Hub Based on Sensor Fusion Technology
- European and US Car Assessment Rules and Regulations Set the Benchmark for Automotive Standards
- Retail Theft Prevention and Military Force Protection Enabled through Multi-sensor Fusion Research and Development
- Global Patent Assessment of Sensor Fusion Technologies
- Patent Filing Trends Show Potential Application for Sensor Fusion beyond Automotive Sector
- Funding Analysis of Sensor Fusion Indicates Technology Development and Deployment Are Attracting Investments
6. Companies to Action
- BASELABS, Germany
- Sensor Data Fusion for Autonomous Driving Applications
- VayaVision, Israel
- Sensor Fusion Software Detects Small Obstacles
- Mobileye, Israel
- System-on-Chip Has the Potential to Enable Level 5 Autonomous Driving
- STMicroelectronics, Switzerland
- Sensor Fusion Library Allows Control of Software Settings
- Phantom AI, US
7. Implementation Case Scenarios: Testing and Demonstration of Sensor Fusion
- Testing of Self-driving Trucks with Automated Technology for Environmental Sensing and Navigation: Waymo, US
- Laboratory Testing of Radar Engine Control Unit to Enable Sensor Fusion: Capgemini Engineering, France
- Demonstration of Autonomous Vehicles: Mobileye (owned by Intel), US
8. Impact of COVID-19
- Robotaxis and Sanitization: Prime Areas of Focus for Sensor Fusion during the COVID-19 Pandemic
9. Growth Opportunities
- Growth Opportunity 1: New Product Launches Pave the Way for Self-driving Cars
- Growth Opportunity 2: IP Scenario Extensively Driven by Advancements in Navigation, Localization, & Mapping
- Growth Opportunity 3: Strategic Alliances Form the Crux of Expanding Application Diversity
10. Key Contacts
11. Next Steps
- Your Next Steps
- Why the Publisher, Why Now?
- Legal Disclaimer
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- BASELABS
- Mobileye
- Phantom AI
- STMicroelectronics
- VayaVision
