Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems
User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …
[PDF][PDF] Development and testing of an image transformer for explainable autonomous driving systems
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 …
vehicle related accidents. As the key technology in perception, deep learning (DL) based …
Explainable Artificial Intelligence (XAI): connecting artificial decision-making and human trust in autonomous vehicles
AVS Madhav, AK Tyagi - Proceedings of Third International Conference on …, 2022 - Springer
Automated navigation technology has established itself as an integral facet of intelligent
transportation and smart city systems. Several international technological organizations …
transportation and smart city systems. Several international technological organizations …
[HTML][HTML] Explaining deep learning-based driver models
MPS Lorente, EM Lopez, LA Florez, AL Espino… - Applied Sciences, 2021 - mdpi.com
Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …
relevant areas such as healthcare, cybersecurity, natural language processing, and self …
Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …
the last two decades. There is increasing interest in the field as the deployment of …
XAI-AV: Explainable artificial intelligence for trust management in autonomous vehicles
Artificial intelligence (AI) is the most looked up technology with a diverse range of
applications across all the fields, whether it is intelligent transportation systems (ITS) …
applications across all the fields, whether it is intelligent transportation systems (ITS) …
Attention-based interrelation modeling for explainable automated driving
Automated driving desires better performance on tasks like motion planning and interacting
with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high …
with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high …
What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles
Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …
Explainable AI-based federated deep reinforcement learning for trusted autonomous driving
Recently, the concept of autonomous driving became prevalent in the domain of intelligent
transportation due to the promises of increased safety, traffic efficiency, fuel economy and …
transportation due to the promises of increased safety, traffic efficiency, fuel economy and …
Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …