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A-Eye: Driving with the Eyes of AI for Corner Case Generation

A-Eye: Driving with the Eyes of AI for Corner Case Generation

22 February 2022
K. Kowol
S. Bracke
Hanno Gottschalk
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Papers citing "A-Eye: Driving with the Eyes of AI for Corner Case Generation"

6 / 6 papers shown
Title
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
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
55
1
0
29 Mar 2025
survAIval: Survival Analysis with the Eyes of AI
survAIval: Survival Analysis with the Eyes of AI
K. Kowol
S. Bracke
Hanno Gottschalk
26
0
0
23 May 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A
  Survey
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Svenja Uhlemeyer
K. Kowol
J. Marius Zöllner
33
19
0
06 Feb 2023
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory
  Datasets for Automated Driving
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch
Florian Heidecker
Julian Truetsch
K. Kowol
Clemens Schicktanz
Maarten Bieshaar
Bernhard Sick
Christoph Stiller
17
8
0
17 Oct 2022
What should AI see? Using the Public's Opinion to Determine the
  Perception of an AI
What should AI see? Using the Public's Opinion to Determine the Perception of an AI
Robin Shing Moon Chan
Radin Dardashti
Meike Osinski
Matthias Rottmann
D. Brüggemann
Cilia Rücker
Peter Schlicht
Fabian Hüger
N. Rummel
Hanno Gottschalk
27
5
0
09 Jun 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
36
18
0
04 Jan 2022
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