Simultaneous Localization And Mapping
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Simultaneous Localization And Mapping. Slam algorithms allow the vehicle to map out unknown environments. This project focuses on the possibility on slam algorithms on mobile phones, specifically, huawei p9.
When you first start an ar app using google arcore, apple arkit or microsoft mixed reality, the system doesn’t know much about the environment. More difficult than mapping with known poses: Simultaneous localization and mapping has long been a hot topic in which people in past years discover different approaches to improve accuracy and functionality of mapping surroundings as the sensor moves around geographically.
The global startup heat map below highlights 5 startups & emerging companies developing simultaneous localization & mapping solutions.
More difficult than mapping with known poses: Applications for vslam include augmented reality, robotics, and autonomous. Slam (simultaneous localization and mapping) is a method used for autonomous vehicles that lets you build a map and localize your vehicle in that map at the same time. The robot state may include its pose (position + orientation), velocity, etc.
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