To Explain or Not to Explain: A Study on the Necessity of Explanations
for Autonomous Vehicles

To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles

21 June 2020

Yuan-Chung Shen

Shanduojiao Jiang

Katie Driggs Campbell

Papers citing "To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles"

7 / 7 papers shown

Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 64 6 0 18 Mar 2024
Exploring XAI for the Arts: Explaining Latent Space in Generative Music Nick Bryan-Kinns Berker Banar Corey Ford Courtney N. Reed Yixiao Zhang S. Colton Jack Armitage 17 30 0 10 Aug 2023
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences Mengdi Chu Keyu Zong Xin Shu Jiangtao Gong Zhicong Lu Kaimin Guo Xinyi Dai Guyue Zhou 36 17 0 09 Mar 2023
PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles A. Piazzoni Jim Cherian Justin Dauwels Lap-Pui Chau 11 11 0 23 Feb 2023
AutoPreview: A Framework for Autopilot Behavior Understanding Yuan Shen Niviru Wijayaratne Peter Du Shanduojiao Jiang Katherine Driggs Campbell 16 8 0 25 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 32 169 0 13 Jan 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015