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Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
11 February 2021
Jasmin Breitenstein
Jan-Aike Termöhlen
Daniel Lipinski
Tim Fingscheidt
AAML
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Papers citing
"Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches"
8 / 8 papers shown
Title
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
Jiacheng Zuo
Haibo Hu
Zikang Zhou
Yufei Cui
Ziquan Liu
Jianping Wang
Nan Guan
Jin Wang
Chun Jason Xue
60
0
0
21 Jan 2025
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
42
5
0
13 May 2024
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
Daniel Bogdoll
Stefani Guneshka
J. Marius Zöllner
29
27
0
01 Sep 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li
Kai Chen
Haoyu Wang
Lanqing Hong
Chao Ye
...
Chunjing Xu
Dit-Yan Yeung
Xiaodan Liang
Zhenguo Li
Hang Xu
34
97
0
15 Mar 2022
A-Eye: Driving with the Eyes of AI for Corner Case Generation
K. Kowol
S. Bracke
Hanno Gottschalk
26
9
0
22 Feb 2022
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Florian Heidecker
Jasmin Breitenstein
Kevin Rösch
Jonas Löhdefink
Maarten Bieshaar
Christoph Stiller
Tim Fingscheidt
Bernhard Sick
29
40
0
05 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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