Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots

no code implementations • 26 Aug 2022 • Sahar Salimpour, Jorge Peña Queralta, Tomi Westerlund

We also introduce a self-calibrating method for the proposed model in order to address the problem of sensitivity to feature matching thresholds and environmental conditions.

Anomaly Detection Change Detection +3

Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor

1 code implementation • 8 Mar 2022 • Yu Xianjia, Sahar Salimpour, Jorge Peña Queralta, Tomi Westerlund

Over the last decade, robotic perception algorithms have significantly benefited from the rapid advances in deep learning (DL).