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"

8 / 8 papers shown

Title
Explaining Autonomous Vehicles with Intention-aware Policy Graphs Sara Montese Víctor Giménez-Ábalos Atia Cortés Ulises Cortés Sergio Álvarez Napagao 16 0 0 13 May 2025
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications Trisanth Srinivasan Santosh Patapati 27 0 0 03 May 2025
The Explanation Necessity for Healthcare AI Michail Mamalakis Héloïse de Vareilles Graham K Murray Pietro Lio' J. Suckling 28 2 0 31 May 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 58 5 0 18 Mar 2024
The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey Cheng Wang Fengwei Guo Rui-na Yu Luyao Wang Yuxin Zhang 9 10 0 26 Mar 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 47 94 0 30 May 2022
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 43 411 0 15 Feb 2021
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li M. Tomizuka 45 219 0 23 Jan 2020