Out-of-Distribution Detection for Automotive Perception

3 November 2020

Roland Siegwart

Mykel J. Kochenderfer

Cesar Cadena

UQCV

ArXiv PDF HTML

Papers citing "Out-of-Distribution Detection for Automotive Perception"

34 / 34 papers shown

Title
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations Bin Zhang Jinggang Chen Xiaoyang Qu Guokuan Li Kai Lu Jiguang Wan Jing Xiao Jianzong Wang ObjD 52 0 0 28 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 59 0 0 28 Mar 2025
Generating Out-Of-Distribution Scenarios Using Language Models Erfan Aasi Phat Nguyen Shiva Sreeram Guy Rosman S. Karaman Daniela Rus OODD 83 4 0 25 Nov 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded" Som Sagar Aditya Taparia Ransalu Senanayake 20 0 0 22 Oct 2024
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors Longfei Liu Wen Guo S. Huang Cheng Li Xi Shen ObjD 41 0 0 12 Sep 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models Som Sagar Aditya Taparia Ransalu Senanayake 42 10 0 11 Jun 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 32 8 0 06 May 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation Florian Heidecker A. El-khateeb Maarten Bieshaar Bernhard Sick 33 0 0 17 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets Ruining Yang Yuqi Peng 29 2 0 29 Mar 2024
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving Lixing Xiao Ruixiao Shi Xiaoyang Tang Yi Zhou 19 0 0 03 Feb 2024
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 39 7 0 05 Dec 2023
Segment Every Out-of-Distribution Object Wenjie Zhao Jia Li Xin Dong Yu Xiang Yunhui Guo 40 8 0 27 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 23 1 0 23 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 32 4 0 11 Nov 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 35 1 0 18 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models Alonso Marco Elias Morley Claire Tomlin 34 2 0 13 Sep 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection Chengjie Huang Van Duong Nguyen Vahdat Abdelzad Christopher Gus Mannes Luke Rowe Benjamin Therien Rick Salay Krzysztof Czarnecki OODD 3DPC 145 18 0 28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 23 4 0 26 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection Rundong He Rong Li Zhongyi Han Yilong Yin 40 5 0 16 Sep 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey Bettina Könighofer Roderick Bloem Rüdiger Ehlers Christian Pek 17 7 0 30 Aug 2022
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers Daniel Bogdoll Meng Zhang Maximilian Nitsche J. Marius Zöllner 17 1 0 13 Jul 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 50 24 0 03 Jun 2022
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving Daniel Bogdoll Enrico Eisen Maximilian Nitsche Christin Scheib J. Marius Zöllner 20 12 0 03 May 2022
Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Maximilian Nitsche J. Marius Zöllner 24 116 0 17 Apr 2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles Harrison Delecki Masha Itkina Bernard Lange Ransalu Senanayake Mykel J. Kochenderfer 16 23 0 26 Mar 2022
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation Kefan Jin Xi Han 31 3 0 14 Mar 2022
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 34 17 0 25 Jul 2021
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis Anisie Uwimana Ransalu Senanayake OOD MedIm 15 21 0 10 Jul 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 29 51 0 05 Jan 2021
Dense open-set recognition with synthetic outliers generated by Real NVP Matej Grcić Petra Bevandić Sinisa Segvic 16 40 0 22 Nov 2020
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection Benjin Zhu Zhengkai Jiang Xiangxin Zhou Zeming Li Gang Yu 3DPC 169 484 0 26 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015