Publications / 2020 Proceedings of the 37th ISARC, Kitakyushu, Japan

Robotics Autonomous Surveillance Algorithms for Assessing Construction Automation and Completion Progress

Firas Habbal, Abdualla AlNuaimi, Dhoha Alhmoudi, Mariam Alrayssi and Ahmed Alali
Pages 1584-1589 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844)

Exact development progress estimation has been demonstrated to be basic to the accomplishment of a structure venture. The techniques for robotized development progress estimation proposed in past examinations have certain constraints in light of fragmented informational collections. The principle target of this research was to create a precise, basically completely mechanized strategy for development progress estimation utilizing a 360? cameras and 3D information with LiDAR technology to detect site plan by remote-detecting innovation. The cameras at that point select the parameter settings that best fulfill the relegated contending solicitations to give high goals perspectives on the stage accomplishments. We propose using robotic scanning with AI analytics to tackle the plaster stage and the camera parameter determination issues continuously. The adequacy of the proposed framework is approved in both reproduction and physical test. The consequences of the proposed progress estimation technique can be utilized as contribution for development progress representation and enhance the inspections timeframe.

Keywords: Construction Robotics; Inspections Enhancements; AI Detection; Internal Mapping; Autonomous Inspection