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"

50 / 88 papers shown

Title
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems Zhuoli Zhuang Cheng-You Lu Yu-Cheng Chang Yu-Kai Wang T. Do Chin-Teng Lin 26 0 0 08 Apr 2025
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images Zhongyi Shui Ruizhe Guo Honglin Li Yuxuan Sun Yunlong Zhang Chenglu Zhu Jiatong Cai Pingyi Chen Yanzhou Su Lin Yang 44 0 0 04 Mar 2025
Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation Namhee Kim Woojin Park 38 0 0 06 Feb 2025
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection Zhiying Li Zhi Liu Guanggang Geng Shreyank N. Gowda Shuyuan Lin Jian Weng Xiaobo Jin AAML 59 0 0 23 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 66 0 0 23 Nov 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques Arne Grobrugge Nidhi Mishra Johannes Jakubik G. Satzger 95 1 0 28 Oct 2024
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning Siyi Lu Lei He Shengbo Eben Li Yugong Luo Jianqiang Wang Keqiang Li 21 2 0 26 Sep 2024
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model Ludan Zhang Xiaokang Ding Yuqi Dai Lei He Keqiang Li 20 0 0 18 Sep 2024
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Songning Lai Tianlang Xue Hongru Xiao Lijie Hu Jiemin Wu Ninghui Feng Runwei Guan Haicheng Liao Zhenning Li Yutao Yue 26 4 0 16 Sep 2024
Explainable AI: Definition and attributes of a good explanation for health AI E. Kyrimi S. McLachlan Jared M Wohlgemut Zane B Perkins David A. Lagnado W. Marsh the ExAIDSS Expert Group XAI 16 1 0 09 Sep 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning Jiaming Liu Hongyuan Liu Zhili Qin Wei Han Yulu Fan Qinli Yang Junming Shao CLL 41 0 0 19 Aug 2024
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology Jingyu Zhang Jin Cao Jinghao Chang Xinjin Li Houze Liu Zhenglin Li 31 14 0 01 Jun 2024
Feature Map Convergence Evaluation for Functional Module Ludan Zhang Chaoyi Chen Lei He Keqiang Li 24 2 0 07 May 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System Mohamed Roshdi Julian Petzold Mostafa Wahby Hussein Ebrahim Mladen Berekovic Heiko Hamann 19 0 0 26 Apr 2024
ECOR: Explainable CLIP for Object Recognition Ali Rasekh Sepehr Kazemi Ranjbar Milad Heidari Wolfgang Nejdl VLM 33 4 0 19 Apr 2024
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder Anass Bairouk Mirjana Maras Simon Herlin Alexander Amini Marc Blanchon Ramin Hasani Patrick Chareyre Daniela Rus 26 3 0 02 Apr 2024
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding Yi Wang Kunchang Li Xinhao Li Jiashuo Yu Yinan He ... Hongjie Zhang Yifei Huang Yu Qiao Yali Wang Limin Wang 24 104 0 22 Mar 2024
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap Sule Tekkesinoglu Azra Habibovic Lars Kunze 29 3 0 19 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 52 5 0 18 Mar 2024
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles Shihong Ling Yue Wan Xiaowei Jia Na Du 31 1 0 23 Feb 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model Jianhao Yuan Shuyang Sun Daniel Omeiza Bo-Lu Zhao Paul Newman Lars Kunze Matthew Gadd LRM 16 47 0 16 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 8 25 0 08 Feb 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 21 6 0 26 Jan 2024
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset Alireza Shamsoshoara Safin B Salih Pedram Aghazadeh ViT OffRL 26 2 0 02 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 15 3 0 23 Dec 2023
Towards Knowledge-driven Autonomous Driving Xin Li Yeqi Bai Pinlong Cai Licheng Wen Daocheng Fu ... Yikang Li Botian Shi Yong-Jin Liu Liang He Yu Qiao 32 26 0 07 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 15 6 0 04 Dec 2023
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations Lei Fan Jianxiong Zhou Xiaoying Xing Ying Wu VLM 19 3 0 28 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 21 24 0 18 Nov 2023
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving Luca Cultrera Federico Becattini Lorenzo Seidenari P. Pala A. Bimbo 20 4 0 31 Oct 2023
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering Trang Nguyen Naoaki Okazaki LRM 25 0 0 09 Oct 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Torsten Bertram AI4CE 20 5 0 31 Aug 2023
Explainable Multi-View Deep Networks Methodology for Experimental Physics Nadav Schneider Muriel Tzdaka G. Sturm Guy Lazovski G. Bar G. Oren R. Gvishi Gal Oren 17 0 0 16 Aug 2023
Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations Akshay Gopalkrishnan Ross Greer Maitrayee Keskar Mohan M. Trivedi 18 0 0 27 Jul 2023
Explaining Autonomous Driving Actions with Visual Question Answering Shahin Atakishiyev Mohammad Salameh H. Babiker Randy Goebel 14 15 0 19 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 30 260 0 29 Jun 2023
LiDAR-Based Place Recognition For Autonomous Driving: A Survey Yongjun Zhang Pengcheng Shi Jiayuan Li 26 22 0 18 Jun 2023
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving Zihao Wen Yifan Zhang Xinhong Chen Jianping Wang 19 1 0 31 May 2023
Towards Pragmatic Semantic Image Synthesis for Urban Scenes George Eskandar Di Guo Karim Guirguis B. Yang 21 4 0 16 May 2023
Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors Long Chen Yuchen Li Chao Huang Yang Xing Daxin Tian ... Chen Lv Jinjun Wang Dongpu Cao N. Zheng Feiyue Wang 20 66 0 12 May 2023
Fully Automatic Neural Network Reduction for Formal Verification Tobias Ladner Matthias Althoff AAML 15 3 0 03 May 2023
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey J. Zhong Zheng Liu Xiangshan Chen ViT 18 15 0 21 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 6 37 0 20 Apr 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys Long Chen Yuchen Li Chao Huang Bai Li Yang Xing ... Chen Lv Jinjun Wang Dongpu Cao N. Zheng Feiyue Wang 33 294 0 30 Mar 2023
Assisting Human Decisions in Document Matching Joon Sik Kim Valerie Chen Danish Pruthi Nihar B. Shah Ameet Talwalkar 24 5 0 16 Feb 2023
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation Wenhui Huang Yanxin Zhou Xiangkun He Chengqi Lv 6 26 0 01 Jan 2023
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 19 0 0 21 Dec 2022
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark Jianwu Fang Lei-lei Li Kuan Yang Zhedong Zheng Jianru Xue Tat-Seng Chua 15 12 0 19 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 15 0 0 01 Dec 2022
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 13 29 0 22 Nov 2022