collaborators

5 papers

eess.SY2025

A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems

Milin Patel, Rolf Jung, Marzana Khatun

In the automobile industry, ensuring the safety of automated vehicles equipped with the Automated Driving System (ADS) is becoming a significant focus due to the increasing develop…

cs.HC2025

Simulation-based Testing of Foreseeable Misuse by the Driver applicable for Highly Automated Driving

Milin Patel, Rolf Jung, Yasin Cakir

With Highly Automated Driving (HAD), the driver can engage in non-driving-related tasks. In the event of a system failure, the driver is expected to reasonably regain control of th…

cs.CV2025

Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case

Milin Patel, Rolf Jung

Safety of the Intended Functionality (SOTIF) addresses sensor performance limitations and deep learning-based object detection insufficiencies to ensure the intended functionality…

cs.SE2025

Simulation-Based Application of Safety of The Intended Functionality to Mitigate Foreseeable Misuse in Automated Driving Systems

Milin Patel, Rolf Jung

The development of Automated Driving Systems (ADS) has the potential to revolutionise the transportation industry, but it also presents significant safety challenges. One of the ke…

cs.RO2025

Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection

Milin Patel, Rolf Jung

Uncertainty in LiDAR sensor-based object detection arises from environmental variability and sensor performance limitations. Representing these uncertainties is essential for ensur…