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A Self-Calibrating Probabilistic Framework for 3D Environment Perception Using Monocular Vision
2020
Sensors
Cameras are sensors that are available anywhere and to everyone, and can be placed easily inside vehicles. While stereovision setups of two or more synchronized cameras have the advantage of directly extracting 3D information, a single camera can be easily set up behind the windshield (like a dashcam), or above the dashboard, usually as an internal camera of a mobile phone placed there for navigation assistance. This paper presents a framework for extracting and tracking obstacle 3D data from
doi:10.3390/s20051280
pmid:32120868
pmcid:PMC7085646
fatcat:sbt725qv5bhlxnqvda6hu2jpo4