Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

8 February 2024

Papers citing "Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review"

39 / 39 papers shown

Title
The Explanation Necessity for Healthcare AI Michail Mamalakis Héloïse de Vareilles Graham K Murray Pietro Lio J. Suckling 56 2 0 31 May 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 177 6 0 18 Mar 2024
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach Zahra Chaghazardi Saber Fallah Alireza Tamaddoni-Nezhad AAML 50 3 0 30 Aug 2023
Explainable Action Prediction through Self-Supervision on Scene Graphs Pawit Kochakarn D. Martini Daniel Omeiza Lars Kunze SSL 48 11 0 07 Feb 2023
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 46 75 0 22 Dec 2022
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer Hao Shao Letian Wang Ruobing Chen Hongsheng Li Y. Liu 80 204 0 28 Jul 2022
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning Bálint Gyevnár Massimiliano Tamborski Cheng-Hsien Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht 28 11 0 17 Jun 2022
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles Morris Antonello M. Dobre Stefano V. Albrecht John Redford S. Ramamoorthy 3DV 54 10 0 15 Mar 2022
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles Josiah P. Hanna Arrasy Rahman Elliot Fosong Francisco Eiras M. Dobre John Redford S. Ramamoorthy Stefano V. Albrecht 146 26 0 05 Aug 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving Cillian Brewitt Bálint Gyevnár Samuel Garcin Stefano V. Albrecht 64 30 0 10 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 84 172 0 13 Jan 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 65 225 0 20 Nov 2020
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving Bob Wei Mengye Ren Wenyuan Zeng Ming Liang Binh Yang R. Urtasun 3DPC 64 43 0 02 Nov 2020
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions S. Yu Arnav V. Malawade Deepan Muthirayan Pramod P. Khargonekar Mohammad Abdullah Al Faruque 49 83 0 31 Aug 2020
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning Wentao Bao Qi Yu Yu Kong 63 140 0 01 Aug 2020
openDD: A Large-Scale Roundabout Drone Dataset Antonia Breuer Jan-Aike Termöhlen S. Homoceanu Tim Fingscheidt 39 40 0 16 Jul 2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset J. Houston G. Zuidhof Luca Bergamini Yawei Ye Long Chen Ashesh Jain Sammy Omari V. Iglovikov Peter Ondruska 81 365 0 25 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 61 270 0 29 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 54 234 0 13 Mar 2020
Neuro-symbolic Architectures for Context Understanding A. Oltramari Jonathan M Francis C. Henson Kaixin Ma Ruwan Wickramarachchi NAI AI4CE 45 29 0 09 Mar 2020
DADA: Driver Attention Prediction in Driving Accident Scenarios Jianwu Fang Dingxin Yan Jiahuan Qiao Jianru Xue Hongkai Yu 55 109 0 18 Dec 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 92 908 0 13 Aug 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 271 5,705 0 26 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 122 1,319 0 26 Feb 2019
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments G. Varma A. Subramanian A. Namboodiri Manmohan Chandraker C. V. Jawahar 88 324 0 26 Nov 2018
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning Vasili Ramanishka Yi-Ting Chen Teruhisa Misu Kate Saenko 68 280 0 06 Nov 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 75 1,088 0 31 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 170 1,169 0 19 Jun 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 133 5,146 0 10 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 236 4,249 0 22 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 842 21,760 0 22 May 2017
Predicting the Driver's Focus of Attention: the DR(eye)VE Project Andrea Palazzi Davide Abati Simone Calderara Francesco Solera Rita Cucchiara 68 251 0 10 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 122 1,510 1 19 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 250 19,929 0 07 Oct 2016
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles B. Paden Michal Cap Sze Zheng Yong Dmitry S. Yershov Emilio Frazzoli 53 2,020 0 25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 909 11,587 0 06 Apr 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 222 4,665 0 21 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 369 43,524 0 01 May 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 469 15,861 0 12 Nov 2013