3 papers
cs.RO2024
Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving
Iqra Aslam, Igor Anpilogov, Andreas Rausch
Autonomous driving technology is progressing rapidly, largely due to complex End To End systems based on deep neural networks. While these systems are effective, their complexity c…
cs.RO2024
A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
Iqra Aslam, Abhishek Buragohain, Daniel Bamal +3
Environment perception is a fundamental part of the dynamic driving task executed by Autonomous Driving Systems (ADS). Artificial Intelligence (AI)-based approaches have prevailed…
cs.RO2023
Connected Dependability Cage Approach for Safe Automated Driving
Adina Aniculaesei, Iqra Aslam, Daniel Bamal +4
Automated driving systems can be helpful in a wide range of societal challenges, e.g., mobility-on-demand and transportation logistics for last-mile delivery, by aiding the vehicle…