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2011.01413
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Out-of-Distribution Detection for Automotive Perception
International Conference on Intelligent Transportation Systems (ITSC), 2020
3 November 2020
Julia Nitsch
Masha Itkina
Ransalu Senanayake
Juan I. Nieto
M. Schmidt
Roland Siegwart
Mykel J. Kochenderfer
Cesar Cadena
UQCV
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Papers citing
"Out-of-Distribution Detection for Automotive Perception"
35 / 35 papers shown
Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
Tongfei Guo
Lili Su
161
0
0
16 Sep 2025
SAFE: Multitask Failure Detection for Vision-Language-Action Models
Qiao Gu
Yuanliang Ju
Shengxiang Sun
Igor Gilitschenski
Haruki Nishimura
Masha Itkina
Florian Shkurti
254
22
0
11 Jun 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
AAAI Conference on Artificial Intelligence (AAAI), 2025
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
261
3
0
28 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
305
1
0
28 Mar 2025
Generating Out-Of-Distribution Scenarios Using Language Models
IEEE International Conference on Robotics and Automation (ICRA), 2024
Erfan Aasi
Phat Nguyen
Shiva Sreeram
Guy Rosman
S. Karaman
Daniela Rus
OODD
403
10
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
178
0
0
22 Oct 2024
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
Longfei Liu
Wen Guo
Shijie Huang
Cheng Li
Xi Shen
ObjD
276
1
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
323
11
0
11 Jun 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
504
6
0
18 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
330
11
0
06 May 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
198
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
348
16
0
08 Apr 2024
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets
Ruining Yang
Yuqi Peng
194
6
0
29 Mar 2024
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao
Ruixiao Shi
Xiaoyang Tang
Yi Zhou
221
0
0
03 Feb 2024
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Sungik Choi
Hankook Lee
Honglak Lee
Moontae Lee
DiffM
267
11
0
05 Dec 2023
Segment Every Out-of-Distribution Object
Computer Vision and Pattern Recognition (CVPR), 2023
Wenjie Zhao
Jia Li
Xin Dong
Yu Xiang
Yunhui Guo
384
21
0
27 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
244
3
0
23 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
Conference on Robot Learning (CoRL), 2023
Jianxiang Feng
Jongseok Lee
Simon Geisler
Stephan Gunnemann
Rudolph Triebel
OODD
266
8
0
11 Nov 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
DRL
227
2
0
18 Sep 2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
IEEE Conference on Decision and Control (CDC), 2023
Alonso Marco
Elias Morley
Claire Tomlin
345
6
0
13 Sep 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Conference on Robot Learning (CoRL), 2022
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
312
32
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
377
25
0
28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
239
8
0
26 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection
ACM Multimedia (ACM MM), 2022
Rundong He
Rong Li
Zhongyi Han
Yilong Yin
224
6
0
16 Sep 2022
Correct-by-Construction Runtime Enforcement in AI -- A Survey
Bettina Könighofer
Roderick Bloem
Rüdiger Ehlers
Christian Pek
201
14
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
401
1
0
13 Jul 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Bertrand Charpentier
Ransalu Senanayake
Mykel Kochenderfer
Stephan Günnemann
PER
UD
222
32
0
03 Jun 2022
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Daniel Bogdoll
Enrico Eisen
Maximilian Nitsche
Christin Scheib
J. Marius Zöllner
324
15
0
03 May 2022
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
208
173
0
17 Apr 2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Harrison Delecki
Masha Itkina
Bernard Lange
Ransalu Senanayake
Mykel J. Kochenderfer
337
25
0
26 Mar 2022
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation
Kefan Jin
Xi Han
318
4
0
14 Mar 2022
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
ACM Transactions on Embedded Computing Systems (TECS), 2021
Yeli Feng
Daniel Jun Xian Ng
Arvind Easwaran
OODD
210
21
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
258
23
0
10 Jul 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
IEEE Access (IEEE Access), 2021
Q. Rahman
Peter Corke
Feras Dayoub
OOD
498
65
0
05 Jan 2021
Dense open-set recognition with synthetic outliers generated by Real NVP
VISIGRAPP (VISIGRAPP), 2020
Matej Grcić
Petra Bevandić
Sinisa Segvic
407
44
0
22 Nov 2020
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