Self-Calibrating Anomaly and Change Detection for Autonomous Inspection
Robots

Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots

26 August 2022

Sahar Salimpour

Jorge Peña Queralta

Tomi Westerlund

ArXiv (abs)PDF HTML

Papers citing "Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots"

8 / 8 papers shown

Title
Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor Xianjia Yu Sahar Salimpour Jorge Peña Queralta Tomi Westerlund 88 11 0 08 Mar 2022
Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments Qingqing Li Jorge Peña Queralta Tuan Anh Nguyen Gia Zhuo Zou Tomi Westerlund 39 71 0 25 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 56 156 0 09 Mar 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 55 280 0 04 Dec 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 141 1,950 0 26 Nov 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Weakly Supervised Silhouette-based Semantic Scene Change Detection Ken Sakurada Mikiya Shibuya Weimin Wang 76 60 0 29 Nov 2018
Learning Deep Features for One-Class Classification Pramuditha Perera Vishal M. Patel 116 371 0 16 Jan 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.