Sensor Fusion: R&D Portfolio and Growth Opportunity Analysis

Sensor Fusion: R&D Portfolio and Growth Opportunity Analysis

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?