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Mobile autonomous spatial scanning system
Manager: dr inż. Krzysztof Lalik
Possible forms of commercialization: spin-off company, sale, licence
AR (augmented reality) technology is used to connect the environment with elements of the digital world. Devices enabling this technology are equipped with a number of sensors used to determine the orientation and position of the device in space. By acquiring data from the sensors in real time, after appropriate processing and their combination, it is possible to create a spatial model of the environment. An algorithm based on a convolutional neural network will be used to analyze and assign the acquired data. Convolutional networks are ideal for extracting features from images. Feature extraction, combined with knowledge of location, will result in a virtual 3D model of the environment. Mapping of the space can be done by a person walking around wearing augmented reality glasses, in which case the place to which the person's head is pointed will be digitized. Alternatively, the AR glasses can be placed on a mobile riding platform and, with its help, hard-to-reach places can be mapped. The essence of the solution is an autonomous platform that 'understands its surroundings', which is equipped with sensory systems along with an AR device. Thanks to its built-in intelligence, it is able to avoid obstacles and other users of a given space and orient itself to its location at the same time. Combining these features with space mapping technology using AR goggles allows for autonomous spatial mapping. The device replaces the tedious and often inconsistent process of manually creating 3D maps. It is also an alternative to stationary Point Cloud creation using 3D scanners.