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- W3171058865 abstract "Remote operation of diggers, scalers, and other tunnel-boring machines has significant benefits for worker safety in underground mining. Real-time augmentation of the presented remote views can further improve the operator effectiveness through a more complete presentation of relevant sections of the remote location. In safety-critical applications, such augmentation cannot depend on preconditioned data, nor generate plausible-looking yet inaccurate sections of the view. In this paper, we present a capture and rendering pipeline for real time view augmentation and novel view synthesis that depends only on the inbound data from lidar and camera sensors. We suggest an on-the-fly lidar filtering for reducing point oscillation at no performance cost, and a full rendering process based on lidar depth upscaling and in-view occluder removal from the presented scene. Performance assessments show that the proposed solution is feasible for real-time applications, where per-frame processing fits within the constraints set by the inbound sensor data and within framerate tolerances for enabling effective remote operation." @default.
- W3171058865 created "2021-06-22" @default.
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- W3171058865 date "2021-01-01" @default.
- W3171058865 modified "2023-09-27" @default.
- W3171058865 title "Camera and Lidar-Based View Generation for Augmented Remote Operation in Mining Applications" @default.
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- W3171058865 doi "https://doi.org/10.1109/access.2021.3086894" @default.
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