Augmented Reality Driving Using Semantic Geo-Registration

Augmented Reality Driving Using Semantic Geo-Registration

We propose a new approach that utilizes semantic information to register 2D monocular video frames to the world using 3D geo-referenced data, for augmented reality driving applications. The geo-registration process uses our predicted vehicle pose to generate a rendered depth map for each frame, allo...

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Bibliografiske detaljer
Main Authors:	Villamil, Ryan, Samarasekera, Supun, Chiu, Han-Pang, Murali, Varun, Munoz Kessler, Rodrigo Arturo, Kumar, Rakesh
Andre forfattere:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format:	Article
Udgivet:	Institute of Electrical and Electronics Engineers (IEEE) 2018
Online adgang:	http://hdl.handle.net/1721.1/119669 https://orcid.org/0000-0001-9741-1102

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