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MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for
  multiple uncertainty types and tasks

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks

2 March 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Ángel Tena
Rémi Kazmierczak
Séverine Dubuisson
Emanuel Aldea
David Filliat
    UQCV
ArXivPDFHTML

Papers citing "MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks"

20 / 20 papers shown
Title
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data,
  Flexible Views, and Transformed Domains
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
Fardad Dadboud
Hamid Azad
Varun Mehta
M. Bolic
Iraj Mntegh
67
0
0
06 Dec 2024
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
Zhongyu Xia
Jishuo Li
Zhiwei Lin
Xinhao Wang
Y. Wang
Ming-Hsuan Yang
VLM
69
2
0
26 Nov 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OOD
VLM
52
1
0
06 Nov 2024
Prediction Accuracy & Reliability: Classification and Object
  Localization under Distribution Shift
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet
Moussa Kassem Sbeyti
Michelle Karg
41
0
0
05 Sep 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
34
5
0
13 May 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance
  Uncertainty Estimation
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu
Luping Ji
EDL
24
4
0
07 May 2024
Monocular 3D lane detection for Autonomous Driving: Recent Achievements,
  Challenges, and Outlooks
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
Fulong Ma
Weiqing Qi
Guoyang Zhao
Linwei Zheng
Sheng Wang
Yuxuan Liu
Ming-Yu Liu
74
9
0
10 Apr 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic
  Dataset and New Metrics
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
24
4
0
10 Jan 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
50
36
0
02 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCV
BDL
15
4
0
23 Dec 2023
Open-sourced Data Ecosystem in Autonomous Driving: the Present and
  Future
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
Hongyang Li
Yang Li
Huijie Wang
Jia Zeng
Huilin Xu
...
Kai Yan
Beipeng Mu
Zhihui Peng
Shaoqing Ren
Yu Qiao
21
24
0
06 Dec 2023
On the Calibration of Human Pose Estimation
On the Calibration of Human Pose Estimation
Kerui Gu
Rongyu Chen
Angela Yao
28
7
0
28 Nov 2023
InfraParis: A multi-modal and multi-task autonomous driving dataset
InfraParis: A multi-modal and multi-task autonomous driving dataset
Gianni Franchi
Marwane Hariat
Xuanlong Yu
Nacim Belkhir
Antoine Manzanera
David Filliat
14
9
0
27 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu
Yi Zuo
Zitao Wang
Xiaowen Zhang
Jiaxuan Zhao
...
Angela Yao
Wenlong Chen
Ivor J. A. Simpson
Neill D. F. Campbell
Gianni Franchi
UQCV
33
4
0
27 Sep 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
21
2
0
01 Aug 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
34
36
0
13 Apr 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
17
19
0
06 Feb 2023
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
22
18
0
20 Jul 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
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