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Perception Datasets for Anomaly Detection in Autonomous Driving: A
  Survey

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

6 February 2023
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
ArXivPDFHTML

Papers citing "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"

16 / 16 papers shown
Title
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data
Hauke Sandhaus
Angel Hsing-Chi Hwang
Wendy Ju
Qian Yang
22
0
0
10 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
78
2
0
04 Mar 2025
STOP! Camera Spoofing via the in-Vehicle IP Network
STOP! Camera Spoofing via the in-Vehicle IP Network
Dror Peri
Avishai Wool
AAML
13
0
0
07 Oct 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Daniel Bogdoll
Noël Ollick
Tim Joseph
J. Marius Zöllner
24
1
0
10 Jun 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
26
5
0
13 May 2024
Collaborative Perception Datasets in Autonomous Driving: A Survey
Collaborative Perception Datasets in Autonomous Driving: A Survey
Melih Yazgan
Mythra Varun Akkanapragada
J. Zoellner
24
6
0
22 Apr 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality,
  and a Future Outlook
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Mingyu Liu
Ekim Yurtsever
Jonathan Fossaert
Xingcheng Zhou
Walter Zimmer
Yuning Cui
B. L. Žagar
Alois C. Knoll
40
34
0
02 Jan 2024
Unveiling Objects with SOLA: An Annotation-Free Image Search on the
  Object Level for Automotive Data Sets
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
Philipp Rigoll
Jacob Langner
Eric Sax
23
3
0
04 Dec 2023
Utilizing dataset affinity prediction in object detection to assess
  training data
Utilizing dataset affinity prediction in object detection to assess training data
S. Becker
Jens Bayer
Ronny Hug
Wolfgang Hubner
Michael Arens
11
0
0
16 Nov 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
DRL
17
1
0
18 Sep 2023
Exploring the Potential of World Models for Anomaly Detection in
  Autonomous Driving
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Lukas Bosch
Tim Joseph
Helen Gremmelmaier
Yitian Yang
J. Marius Zöllner
11
4
0
10 Aug 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution
  Objects
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
Kira Maag
Robin Shing Moon Chan
Svenja Uhlemeyer
K. Kowol
Hanno Gottschalk
27
19
0
05 Oct 2022
A-Eye: Driving with the Eyes of AI for Corner Case Generation
A-Eye: Driving with the Eyes of AI for Corner Case Generation
K. Kowol
S. Bracke
Hanno Gottschalk
11
9
0
22 Feb 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
220
0
02 Feb 2022
Consensus Synergizes with Memory: A Simple Approach for Anomaly
  Segmentation in Urban Scenes
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes
Jiazhong Cen
Zekun Jiang
Lingxi Xie
Qi Tian
Dongsheng Jiang
Wei Shen
30
5
0
24 Nov 2021
Description of Corner Cases in Automated Driving: Goals and Challenges
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
32
54
0
20 Sep 2021
1