The Global Vision and Navigation System for Autonomous Vehicle Market is expected to grow at a CAGR of 24.7% during the forecast period. Growth of deep learning for image processing and role of the government in developing infrastructure for autonomous & connected vehicle are the major factors driving the market growth. However, increasing threat from cyber-attacks is restraining market growth.
Vision and navigation system for autonomous vehicle uses a data fusion algorithm, measurements from an inertial measurement unit, a GPS receiver and a camera allowing using the positioning information of the surrounding vehicles to improve its estimation. A measure of the navigation performance of the formation is defined. Based on such measure, the position where each vehicle should be located in the formation is studied to guarantee the best overall navigation quality.
Based on system, the software segment is likely to have a huge demand due to more advanced features in each level and high processing power needed to incorporate self-driving features. In all the vehicles, the data collected from sensors is processed via software present inside the complex electronic system. By geography, Asia Pacific is going to have a lucrative growth during the forecast period due to increase in population growth.
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