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Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty

9 September 2024

Papers citing "Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty"

27 / 27 papers shown

Title
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model F. Lotfi K. Virji F. Faraji Lucas Berry Andrew Holliday David Meger Gregory Dudek 131 4 0 01 Oct 2023
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey Xian Tao Xinyi Gong X. Zhang Shaohua Yan Chandranath Adak UQCV 88 141 0 21 Jul 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 206 533 0 13 Apr 2022
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 111 114 0 16 Feb 2022
Motion Primitives-based Navigation Planning using Deep Collision Prediction Huan Nguyen Sondre Holm Fyhn Paolo De Petris Kostas Alexis 64 24 0 10 Jan 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 77 312 0 15 Nov 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 47 7 0 26 Oct 2021
Anomaly Detection in Medical Imaging -- A Mini Review M. Tschuchnig M. Gadermayr 52 84 0 25 Aug 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 235 1,164 0 07 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 922 0 15 Jun 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 80 221 0 07 Mar 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 83 848 0 17 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,374 0 08 Oct 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 168 385 0 29 Jun 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 109 577 0 26 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 196 486 0 25 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 87 666 0 06 Nov 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 209 728 0 07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 187 1,705 0 06 Jun 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 126 526 0 20 Mar 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 194 2,063 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 305 3,144 0 09 Jul 2018
Efficient GAN-Based Anomaly Detection Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek V. Chandrasekhar 60 563 0 17 Feb 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 865 9,353 0 06 Jun 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 174 3,275 0 05 Dec 2014