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Description of Corner Cases in Automated Driving: Goals and Challenges
20 September 2021
Daniel Bogdoll
Jasmin Breitenstein
Florian Heidecker
Maarten Bieshaar
Bernhard Sick
Tim Fingscheidt
J. Marius Zöllner
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Papers citing
"Description of Corner Cases in Automated Driving: Goals and Challenges"
34 / 34 papers shown
Real-DRL: Teach and Learn in Reality
Y. Mao
Yihao Cai
L. Sha
OffRL
204
0
0
30 Oct 2025
Large Language Model-assisted Autonomous Vehicle Recovery from Immobilization
Zhipeng Bao
Qianwen Li
267
1
0
29 Oct 2025
A Machine Learning Perspective on Automated Driving Corner Cases
Sebastian Schmidt
Julius Körner
Stephan Günnemann
201
0
0
12 Oct 2025
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Juan Carlos Climent Pardo
410
1
0
24 Apr 2025
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
Haibo Hu
Jiacheng Zuo
Yang Lou
Yufei Cui
Jianping Wang
Nan Guan
Jin Wang
Yung-Hui Li
Chun Jason Xue
VLM
375
2
0
29 Mar 2025
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Sung-Yeon Park
Can Cui
Yunsheng Ma
Ahmadreza Moradipari
Rohit Gupta
Kyungtae Han
Ziran Wang
357
19
0
17 Mar 2025
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
H. Cao
Y. Mao
L. Sha
Marco Caccamo
OffRL
380
0
0
17 Dec 2024
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
429
10
0
25 Nov 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
315
5
0
11 Oct 2024
3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving
Conference Information and Communication Technology (ICT), 2024
Matúš Čávojský
Eugen Šlapak
Matúš Dopiriak
Gabriel Bugár
Juraj Gazda
287
2
0
30 Aug 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
274
5
0
28 Aug 2024
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
Kemou Jiang
Xuan Cai
Zhiyong Cui
Aoyong Li
Yilong Ren
Haiyang Yu
Hao Yang
Daocheng Fu
Licheng Wen
Pinlong Cai
LLMAG
255
23
0
19 Jul 2024
Data selection method for assessment of autonomous vehicles
L. Trinh
Ali Anwar
Siegfried Mercelis
153
3
0
16 Jul 2024
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
Daniel Bogdoll
Jan Imhof
Tim Joseph
J. Marius Zöllner
J. Marius Zöllner
299
0
0
10 Jun 2024
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
419
12
0
13 May 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
232
0
0
17 Apr 2024
Towards Knowledge-driven Autonomous Driving
Xin Li
Yeqi Bai
Pinlong Cai
Licheng Wen
Daocheng Fu
...
Yikang Li
Ding Wang
Yong-Jin Liu
Xiaoling Wang
Yu Qiao
494
38
0
07 Dec 2023
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
International Conference on Learning Representations (ICLR), 2023
Licheng Wen
Daocheng Fu
Xin Li
Xinyu Cai
Tengyu Ma
Pinlong Cai
Min Dou
Ding Wang
Xiaoling Wang
Yu Qiao
412
248
0
28 Sep 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
245
2
0
18 Sep 2023
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
E. Maci
Rhys Howard
Lars Kunze
209
0
0
25 Aug 2023
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Daniel Bogdoll
Lukas Bosch
Tim Joseph
Helen Gremmelmaier
Yitian Yang
J. Marius Zöllner
342
6
0
10 Aug 2023
Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2023
Jie Yin
Hao Yin
C. Liang
Zhengyou Zhang
193
19
0
08 Jul 2023
A Semi-Automated Corner Case Detection and Evaluation Pipeline
Isabelle Tülleners
Tobias Moers
Thomas Schulik
Martin Sedlacek
156
1
0
25 May 2023
A Feature-based Approach for the Recognition of Image Quality Degradation in Automotive Applications
International Conference on Systems, Signals, and Image Processing (ICSSIP), 2023
F. Bauer
260
1
0
13 Mar 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
498
23
0
06 Feb 2023
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
Daniel Bogdoll
Stefani Guneshka
J. Marius Zöllner
313
35
0
01 Sep 2022
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers
Daniel Bogdoll
Meng Zhang
Maximilian Nitsche
J. Marius Zöllner
426
1
0
13 Jul 2022
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline
Jasmin Breitenstein
Tim Fingscheidt
248
25
0
01 Jun 2022
Insertion of real agents behaviors in CARLA autonomous driving simulator
International Conference on Computer-Human Interaction Research and Applications (CHIRA), 2022
Sergio Martín Serrano
David Fernández Llorca
Iván García Daza
Miguel Ángel Sotelo
173
11
0
01 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
391
15
0
03 May 2022
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules
Daniel Bogdoll
Moritz Nekolla
Tim Joseph
J. Marius Zöllner
343
5
0
07 Feb 2022
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
232
64
0
09 Dec 2021
Towards Traffic Scene Description: The Semantic Scene Graph
Maximilian Zipfl
J. Marius Zöllner
3DV
282
30
0
19 Nov 2021
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
Daniel Bogdoll
Johannes Jestram
Jonas Rauch
Christin Scheib
Moritz Wittig
J. Marius Zöllner
365
9
0
05 Nov 2021
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