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Failure Detection for Motion Prediction of Autonomous Driving: An
  Uncertainty Perspective

Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective

11 January 2023
Wenbo Shao
Yan Xu
Liang Peng
Jun Li
Hong Wang
ArXivPDFHTML

Papers citing "Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective"

8 / 8 papers shown
Title
Adaptive Prediction Ensemble: Improving Out-of-Distribution
  Generalization of Motion Forecasting
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li
Jiachen Li
Sangjae Bae
David Isele
39
4
0
12 Jul 2024
Uncertainty-Aware Prediction and Application in Planning for Autonomous
  Driving: Definitions, Methods, and Comparison
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
Wenbo Shao
Jiahui Xu
Zhong Cao
Hong Wang
Jun Li
30
3
0
04 Mar 2024
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set
  Prediction
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
Wenbo Shao
Jiahui Xu
Wenhao Yu
Jun Li
Hong Wang
39
1
0
29 Feb 2024
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Wenbo Shao
Jun Li
Hong Wang
35
11
0
16 May 2023
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
33
24
0
08 Nov 2022
See Yourself in Others: Attending Multiple Tasks for Own Failure
  Detection
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
Bo Sun
Jiaxu Xing
Hermann Blum
Roland Siegwart
César Cadena
36
12
0
06 Oct 2021
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
276
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
285
9,136
0
06 Jun 2015
1