Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents

To explain or not to explain: A study on the necessity of explanations for autonomous vehicles

Original

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Axiom-based grad-cam: Towards accurate visualization and explanation of cnns

Original

Fu, R., Q. Hu, X. Dong, Y. Guo, Y. Gao, and B. Li · 2008

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Krizhevsky, A., I. Sutskever, and G. E. Hinton · 2012

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Deep inside convolutional networks: Visualising image classification models and saliency maps

Simonyan, K., A. Vedaldi, and A. Zisserman · 2014

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Investigating the importance of trust on adopting an autonomous vehicle

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Faster r-cnn: Towards real-time object detection with region proposal networks

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Salient deconvolutional networks

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Learning deep features for discriminative localization

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Psychological roadblocks to the adoption of self-driving vehicles

Shariff, A., J.-F. Bonnefon, and I. Rahwan · 2017

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European Union regulations on algorithmic decision-making and a “right to explanation”

Goodman, B. and S. Flaxman · 2017

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Explaining nonlinear classification decisions with deep taylor decomposition

Montavon, G., S. Lapuschkin, A. Binder, W. Samek, and K.-R. Müller · 2017

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Grad-cam: Visual explanations from deep networks via gradient-based localization

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Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks

Chattopadhay, A., A. Sarkar, P. Howlader, and V. N. Balasubramanian · 2018

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Visualbackprop: Efficient visualization of cnns for autonomous driving

Bojarski, M., A. Choromanska, K. Choromanski, B. Firner, L. J. Ackel, U. Muller, P. Yeres, and K. Zieba · 2018

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Textual explanations for self-driving vehicles

Kim, J., A. Rohrbach, T. Darrell, J. Canny, and Z. Akata · 2018

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Conditional affordance learning for driving in urban environments

Sauer, A., N. Savinov, and A. Geiger · 2018

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What do different evaluation metrics tell us about saliency models?

Bylinskii, Z., T. Judd, A. Oliva, A. Torralba, and F. Durand · 2018

Cited alongside, same era.

Layer-wise relevance propagation: an overview

Montavon, G., A. Binder, S. Lapuschkin, W. Samek, and K.-R. Müller · 2019

Effects of explanation types and perceived risk on trust in autonomous vehicles

Ha, T., S. Kim, D. Seo, and S. Lee · 2020

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Eigen-CAM: Class Activation Map using Principal Components

Muhammad, M. B. and M. Yeasin · 2020

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Explaining autonomous driving by learning end-to-end visual attention

Cultrera, L., L. Seidenari, F. Becattini, P. Pala, and A. Del Bimbo · 2020

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Interpretable self-attention temporal reasoning for driving behavior understanding

Liu, Y.-C., Y.-A. Hsieh, M.-H. Chen, C.-H. H. Yang, J. Tegner, and Y.-C. J. Tsai · 2020

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Explainable object-induced action decision for autonomous vehicles

Xu, Y., X. Yang, L. Gong, H.-C. Lin, T.-Y. Wu, Y. Li, and N. Vasconcelos · 2020

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Waymo’s driverless cars were involved in 18 accidents over 20 months, 2020