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High-performance indoor positioning and pose estimation with time-of-flight 3D imaging

Hannes Plank, Theresa Egger, Christoph Steffan, Christian Steger, Gerald Holweg, Norbert Druml

发表年份
2017
引用次数
10

摘要

In recent years, fields such as industrial automation, virtual and augmented reality and autonomous robotics increased the demand for location-awareness of electronic devices. Image sensor based inside-out localization and tracking systems are sufficiently accurate to determine the position and orientation of electronic devices. Without additional sensors however, these systems are impaired in reaching high update-rates, handling fast motions, and tend to be unable to provide localization with low latency. We present a new localization approach in our work, using Time-of-Flight 3D sensors in combination with small reflective markers. This allows to establish high-performance optical localization systems, delivering the position and orientation of a device at a rate of several hundred Hz. A novel Time-of-Flight 3D sensing procedure is introduced, enabling to measure the 3D positions of fast moving targets at unprecedented frame-rates. With this work, we aim to close the gap between indoor positioning and motion tracking, enabling a new class of location-aware devices.

关键词

PoseComputer scienceComputer visionArtificial intelligenceFrame rateAugmented realityRoboticsOrientation (vector space)Real-time computingDrone

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