6 papers
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…
Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function
Milin Patel, Marzana Khatun, Rolf Jung +1
One of the fundamental tasks of autonomous driving is safe trajectory planning, the task of deciding where the vehicle needs to drive, while avoiding obstacles, obeying safety rule…
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…
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…
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…
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…