1 citations · 1 across the 5 of their papers we have counts for
5 papers
Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles
Iqra Aslam, Nour Habib, Abhishek Buragohain +4
The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate…
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…
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…
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…
Runtime Safety Assurance of Autonomous Vehicles used for Last-mile Delivery in Urban Environments
Iqra Aslam, Adina Aniculaesei, Abhishek Buragohain +2
Last-mile delivery of goods has gained a lot of attraction during the COVID-19 pandemic. However, current package delivery processes often lead to parking in the second lane, which…