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Self-Aware Trajectory Prediction for Safe Autonomous Driving

Self-Aware Trajectory Prediction for Safe Autonomous Driving

16 May 2023
Wenbo Shao
Jun Li
Hong Wang
ArXivPDFHTML

Papers citing "Self-Aware Trajectory Prediction for Safe Autonomous Driving"

7 / 7 papers shown
Title
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
Milin Patel
Rolf Jung
M. Khatun
67
0
0
04 Mar 2025
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
35
0
0
03 Oct 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
28
1
0
29 Feb 2024
A Uniform Framework for Anomaly Detection in Deep Neural Networks
A Uniform Framework for Anomaly Detection in Deep Neural Networks
Fangzhen Zhao
Chenyi Zhang
Naipeng Dong
Zefeng You
Zhenxin Wu
AAML
OOD
OODD
14
9
0
06 Oct 2021
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
24
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
268
5,635
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
247
9,042
0
06 Jun 2015
1