Simultaneous Location and Mapping (SLAM) commercial applications will emerge in 2019, but large-scale deployment is unlikely before 2023. SLAM is one of the most innovative technologies out there with the potential to accelerate the use of autonomous machines across many industrial and commercial applications. SLAM is targeting location applications in a dynamic environment where digital maps are not readily available or constantly changing. Most importantly, the technology has the potential to enable machines such as cars, robots, or drones to autonomously scan the environment they are in and navigate their way around fixed, nomadic, or moving obstacles. Advances of processing technologies, Machine Learning (ML), and AR/VR will unlock new opportunities for SLAM, but this will greatly depend on how these technologies will be harmonized with the SLAM’s core hardware and algorithms to improve the overall system efficiency, latency, and reliability.
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