Dublin, Nov. 02, 2021 (GLOBE NEWSWIRE) -- The "Sensor Fusion: R&D Portfolio and Growth Opportunity Analysis" report has been added to ResearchAndMarkets.com's offering.
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?
Key Topics Covered:
1. Strategic Imperatives
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative: 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 Process and Methodology
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
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
Sensor Data Fusion for Autonomous Driving Applications
Sensor Fusion Software Detects Small Obstacles
System-on-Chip Has the Potential to Enable Level 5 Autonomous Driving
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
For more information about this report visit https://www.researchandmarkets.com/r/oam9ou
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