Development and testing of an image transformer for explainable autonomous driving systems

• Published in: Journal of Intelligent and Connected Vehicles Vol. 5; no. 3; pp. 235 - 249
• Main Authors: Dong, Jiqian, Chen, Sikai, Miralinaghi, Mohammad, Chen, Tiantian, Labi, Samuel
• Format: Journal Article
• Language: English
• Published: Bingley Emerald Publishing Limited 11.10.2022; Emerald Group Publishing Limited; Tsinghua University Press
• Subjects: Ablation; Alarm systems; Artificial intelligence; Attention; Automation; autonomous driving; Autonomy; Computer vision; Connectivity; Control theory; Deep learning; Design; Driving ability; explainable deep learning; Neural networks; Perception; Situational awareness; transformer; Vehicles; Computer vision; Transformer; Autonomous driving; Explainable deep learning

Purpose Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer vision models are generally considered to be black boxes due to poor interpretability. These have exacerbated user dis...