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Improving Explainable Object-induced Model through Uncertainty for
Automated Vehicles

Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles

23 February 2024

Papers citing "Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles"

11 / 11 papers shown

Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 205 6 0 18 Mar 2024
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 117 172 0 13 Jan 2021
Driving Behavior Explanation with Multi-level Fusion H. Ben-younes Éloi Zablocki Patrick Pérez Matthieu Cord 48 32 0 09 Dec 2020
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles Yuan-Chung Shen Shanduojiao Jiang Yanlin Chen Katie Driggs Campbell 48 42 0 21 Jun 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 244 1,415 0 21 Oct 2019
Deep Object-Centric Policies for Autonomous Driving Dequan Wang Coline Devin Qi-Zhi Cai Feng Yu Trevor Darrell OCL 52 101 0 13 Nov 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 180 996 0 05 Jun 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 176 472 0 30 May 2018
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 144 826 0 04 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 514 62,294 0 04 Jun 2015

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