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Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
9 January 2023
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
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Papers citing
"Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection"
8 / 8 papers shown
Title
Koopman Operators in Robot Learning
Lu Shi
Masih Haseli
Giorgos Mamakoukas
Daniel Bruder
Ian Abraham
Todd D. Murphey
Jorge Cortes
Konstantinos Karydis
AI4CE
25
7
0
08 Aug 2024
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
Shuijing Liu
Kaiwen Hong
Neeloy Chakraborty
Katherine Driggs-Campbell
53
0
0
27 May 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
57
9
0
25 Mar 2024
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
39
31
0
11 Jan 2024
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
27
5
0
10 Aug 2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction
Julian Wiederer
Julian Schmidt
U. Kressel
Klaus C. J. Dietmayer
Vasileios Belagiannis
UQCV
55
6
0
03 Aug 2023
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang
Jianbo Tao
Kaige Tan
Martin Törngren
José Manuel Gaspar Sánchez
...
Magnus Gyllenhammar
F. Wotawa
N. Mohan
Mihai Nica
Hermann Felbinger
35
39
0
16 Oct 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer
Arij Bouazizi
Marco Troina
U. Kressel
Vasileios Belagiannis
41
22
0
15 Oct 2021
1