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Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
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Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Long Chen
Oleg Sinavski
Jan Hünermann
Alice Karnsund
Andrew James Willmott
Danny Birch
Daniel Maund
Jamie Shotton
    MLLM
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Papers citing "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

4 / 154 papers shown
Title
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
97
137
0
21 Dec 2021
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
165
209
0
25 Nov 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.2K
22,295
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,197
0
16 Feb 2016