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Attentional Bottleneck: Towards an Interpretable Deep Driving Network

Attentional Bottleneck: Towards an Interpretable Deep Driving Network

8 May 2020
Jinkyu Kim
Mayank Bansal
ArXivPDFHTML

Papers citing "Attentional Bottleneck: Towards an Interpretable Deep Driving Network"

5 / 5 papers shown
Title
Beyond Imitation: A Life-long Policy Learning Framework for Path
  Tracking Control of Autonomous Driving
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
Cheng Gong
Chao Lu
Zirui Li
Zhe Liu
Jianwei Gong
Xuemei Chen
16
2
0
26 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
64
6
0
18 Mar 2024
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for
  Autonomous Vehicle
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle
Cheng Gong
Jian-wei Gong
Chao Lu
Zhe Liu
Zirui Li
20
0
0
15 Sep 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
21
35
0
02 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
32
168
0
13 Jan 2021
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