Goal-driven autonomous reality capture for construction monitoring applications
type: CreativeWork
description: Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
abstract: Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01
author: Ibrahim, Amir Ayman Elsayed Mahfouz Hassan
language: en
language: eng
keywords: Reality Capture: Photogrammetry: View planning: Mission planning: visual quality: BIM: UAV: UGV: Improving reality Capture: UAV-based data collection: Data collection simulation: Multi-Objective path planning: Divide-and-conquer: Automatic data collection: Reinforcement learning: Path planning: Robotic navigation policy: SLAM: ROS: LiDAR: RGBD
date published: 2022-05
date modified: 2026-07-22T22:24:54Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: https://hdl.handle.net/2142/115637