Textual explanations for automated commentary driving
The provision of natural language explanations for the predictions of deep-learning-based vehicle controllers is critical as it enhances transparency and easy audit. In this work, a state-of-the-art (SOTA) prediction and explanation model is thoroughly evaluated and validated (as a benchmark) on the...
Main Authors: | Kühn, MA, Omeiza, DA, Kunze, L |
---|---|
Format: | Conference item |
Language: | English |
Published: |
IEEE
2023
|
Similar Items
-
Explanations in autonomous driving: a survey
by: Omeiza, D, et al.
Published: (2021) -
Towards accountability: providing intelligible explanations in autonomous driving
by: Omeiza, DA, et al.
Published: (2021) -
From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles' actions
by: Omeiza, D, et al.
Published: (2022) -
Why not explain? effects of explanations on human perceptions of autonomous driving
by: Omeiza, D, et al.
Published: (2021) -
Providing and assessing intelligible explanations in autonomous driving
by: Omeiza, D
Published: (2022)