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Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving

Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving

18 March 2024
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
ArXivPDFHTML

Papers citing "Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving"

12 / 12 papers shown
Title
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Trisanth Srinivasan
Santosh Patapati
27
0
0
03 May 2025
Video-LLaVA: Learning United Visual Representation by Alignment Before
  Projection
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Bin Lin
Yang Ye
Bin Zhu
Jiaxi Cui
Munan Ning
Peng Jin
Li-ming Yuan
VLM
MLLM
185
576
0
16 Nov 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
102
154
0
04 Oct 2023
Deep Learning Safety Concerns in Automated Driving Perception
Deep Learning Safety Concerns in Automated Driving Perception
Stephanie Abrecht
Alexander Hirsch
Shervin Raafatnia
Matthias Woehrle
16
10
0
07 Sep 2023
Model-Based Imitation Learning for Urban Driving
Model-Based Imitation Learning for Urban Driving
Anthony Hu
Gianluca Corrado
Nicolas Griffiths
Zak Murez
Corina Gurau
Hudson Yeo
Alex Kendall
R. Cipolla
Jamie Shotton
96
133
0
14 Oct 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
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
Reward (Mis)design for Autonomous Driving
Reward (Mis)design for Autonomous Driving
W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
67
112
0
28 Apr 2021
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk
  Object Identification via Causal Inference
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
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
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
Interpretable Self-Attention Temporal Reasoning for Driving Behavior
  Understanding
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
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory
  and Practice
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli
John K. Tsotsos
43
592
0
30 May 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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