Explainability of deep vision-based autonomous driving systems: Review and challenges

13 January 2021

Papers citing "Explainability of deep vision-based autonomous driving systems: Review and challenges"

38 / 88 papers shown

Title
Behavioral Intention Prediction in Driving Scenes: A Survey Jianwu Fang Fan Wang Jianru Xue Tat-Seng Chua 42 42 0 01 Nov 2022
LiDAR-as-Camera for End-to-End Driving Ardi Tampuu Romet Aidla J. Gent Tambet Matiisen 20 18 0 30 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 22 181 0 16 Jun 2022
Slim-neck by GSConv: A lightweight-design for real-time detector architectures Hulin Li Jun Li Hanbing Wei Zheng Liu Zhenfei Zhan Qiliang Ren 10 144 0 06 Jun 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 6 22 0 16 Apr 2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates Alina Roitberg Kunyu Peng David Schneider Kailun Yang Marios Koulakis Manuel Martínez Rainer Stiefelhagen UQCV 20 8 0 10 Apr 2022
Investigation of Factorized Optical Flows as Mid-Level Representations Hsuan-Kung Yang Tsu-Ching Hsiao Tingbo Liao Hsu-Shen Liu Li-Yuan Tsao Tzu-Wen Wang Shan Yang Yu-Wen Chen Huang-ru Liao Chun-Yi Lee 17 3 0 09 Mar 2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report Niccolò Piazzesi Massimo Hong Andrea Ceccarelli AAML 11 3 0 25 Feb 2022
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 17 127 0 21 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 17 97 0 06 Dec 2021
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car Tina Chen Taotao Jing Renran Tian Yaobin Chen Joshua E. Domeyer Heishiro Toyoda Rini Sherony Zhengming Ding 10 17 0 05 Dec 2021
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 23 11 0 20 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 11 42 0 17 Nov 2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments Yandong Liu Chengzhong Xu Hui Kong 11 0 0 11 Nov 2021
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving Guan-Bo Wang Haoyi Niu Desheng Zhu Jianming Hu Xianyuan Zhan Guyue Zhou OffRL 8 2 0 22 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 105 349 0 04 Oct 2021
Raising context awareness in motion forecasting H. Ben-younes Éloi Zablocki Mickaël Chen P. Pérez Matthieu Cord TTA 24 11 0 16 Sep 2021
Attention-like feature explanation for tabular data A. Konstantinov Lev V. Utkin FAtt 8 4 0 10 Aug 2021
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents Muhammad Monjurul Karim Yu Li Ruwen Qin 26 6 0 31 Jul 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 13 5 0 16 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 6 109 0 17 May 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 31 28 0 18 Apr 2021
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras Ciarán Eising Jonathan Horgan S. Yogamani 11 35 0 31 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 6 147 0 09 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 11 17 0 04 Mar 2021
Driving Behavior Explanation with Multi-level Fusion H. Ben-younes Éloi Zablocki Patrick Pérez Matthieu Cord 11 30 0 09 Dec 2020
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation Bowen Li Xiaojuan Qi Philip H. S. Torr Thomas Lukasiewicz GAN 102 68 0 23 Oct 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference Chengxi Li Stanley H. Chan Yi-Ting Chen CML 76 51 0 05 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 137 1,599 0 02 Feb 2020
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding Yi-Chieh Liu Yung-An Hsieh Min-Hung Chen Chao-Han Huck Yang Jesper N. Tegnér Y. Tsai 21 19 0 06 Nov 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 249 618 0 04 Dec 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,687 0 06 Jun 2018
Learning to Anonymize Faces for Privacy Preserving Action Detection Zhongzheng Ren Yong Jae Lee Michael S. Ryoo CVBM PICV 78 200 0 30 Mar 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 219 1,818 0 03 Feb 2017
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 883 0 21 Oct 2016