A survey on safety-critical driving scenario generation—A methodological perspective
Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …
thanks to the advance in machine learning-enabled sensing and decision-making …
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
The increasing digitization and datification of all aspects of people's daily life, and the
consequent growth in the use of personal data, are increasingly challenging the current …
consequent growth in the use of personal data, are increasingly challenging the current …
Trustworthy artificial intelligence requirements in the autonomous driving domain
D Fernandez-Llorca, E Gómez - Computer, 2023 - ieeexplore.ieee.org
Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain Page 1
COVER FEATURE TRUSTWORTHY AI—PART I COMPUTER PUBLISHED BY THE IEEE …
COVER FEATURE TRUSTWORTHY AI—PART I COMPUTER PUBLISHED BY THE IEEE …
Video action recognition for lane-change classification and prediction of surrounding vehicles
M Biparva, D Fernández-Llorca… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out
maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must …
maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must …
Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness
B Chander, C John, L Warrier… - ACM Computing …, 2024 - dl.acm.org
From the innovation, Artificial Intelligence (AI) materialized as one of the noticeable research
areas in various technologies and has almost expanded into every aspect of modern human …
areas in various technologies and has almost expanded into every aspect of modern human …
[HTML][HTML] Vehicle trajectory prediction on highways using bird eye view representations and deep learning
This work presents a novel method for predicting vehicle trajectories in highway scenarios
using efficient bird's eye view representations and convolutional neural networks. Vehicle …
using efficient bird's eye view representations and convolutional neural networks. Vehicle …
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof
New emerging technologies powered by Artificial Intelligence (AI) have the potential to
disruptively transform our societies for the better. In particular, data-driven learning …
disruptively transform our societies for the better. In particular, data-driven learning …
[HTML][HTML] Towards explainable motion prediction using heterogeneous graph representations
Motion prediction systems play a crucial role in enabling autonomous vehicles to navigate
safely and efficiently in complex traffic scenarios. Graph Neural Network (GNN)-based …
safely and efficiently in complex traffic scenarios. Graph Neural Network (GNN)-based …
Testing predictive automated driving systems: Lessons learned and future recommendations
RI Gonzalo, CS Maldonado, JA Ruiz… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Conventional vehicles are certified through classical approaches, where different physical
certification tests are set up on test tracks to assess the required safety levels. These …
certification tests are set up on test tracks to assess the required safety levels. These …
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
We propose a post-hoc computationally lightweight method to quantify predictive uncertainty
in semantic image segmentation. Our approach uses conformal prediction to generate …
in semantic image segmentation. Our approach uses conformal prediction to generate …