M.Sc. Anil Ranjitbhai Patel

Role

Researcher at the research group Software Engineering: Dependability

Address

M.Sc. Anil Ranjitbhai Patel
TU Kaiserslautern
Building 32, Room 435
P.O. Box 3049
67653 Kaiserslautern
Germany

Tel: +49 (631) 205-3334

Fax: +49 (631) 205-3331

E-mail: patel@cs.uni-kl.de

Research Focus

Dynamic Risk Management for Autonomous Vehicles

The Hazard Analysis and Risk Assessment (HARA) of ISO 26262 evaluates the potential for system malfunctions to cause hazardous events in automotive systems and determines Automotive Safety Integrity Levels (ASILs) for safety measures such as fault prevention, tolerance, or mitigation. However, traditional HARA assumes the presence of a human driver to take control of the vehicle, but autonomous vehicles (AVs) operate without human intervention in uncertain and dynamic environments. Therefore, a Dynamic Risk Management (DRM) framework is proposed to ensure safety in AVs by making risk-dependent decisions for system reconfiguration at runtime. The DRM uses on-board sensor data to perform risk assessment and trigger safety actions as needed. This approach moves from static risk management methods to dynamic risk management to ensure the safe behavior of AVs in uncertain situations.

Publications

2023
2023
2022
  • Patel, A. R., Poster-Presentation: A Framework of Dynamic Risk Management for Autonomous Vehicles, in 5th Young Researchers Symposium, Kaiserslautern, 2022.
2022
2021
2021
2020

Master Thesis

  • Sanjaykumar Ramjibhai Gorasiya - Investigation of Deep-Learning Method to detect Risk Level for Autonomous Vehicles
2023
  • Atharva Vishnu Ravekar - Development of safe/robust functional and technical safety concept for safety goal of
    unintended vehicle launch
2023
  • Shivani Sisodiya - Reinforcement Learning based Dynamic Risk Assessment for Autonomous Vehicles
2023
  • Paroma Sen - Dynamic Risk Assessment for Autonomous Vehicle using Model-based Mathematical approach
2023
  • Amna Abdul Rehman - Data Fusion and Data Clustering of Autonomous Vehicles for Dynamic Risk Assessment
2022
  • Li Li - Big Data Software System for C-ITS-based Autonomous Driving
2022
  • Arnab Ghosh - ASIL inspired Risk Assessment based on Machine-Learning Classification for Autonomous Vehicle
2021
  • Bavithira Gnanasegaram - Dynamic Risk Assessment in Autonomous Vehicle using Long-Short Term Memory
2021
  • Sinduja Narra - Identifying Factors Influencing Unsafe Behaviors based on Random Forest for Dynamic Risk Assessment in Autonomous Vehicles
2021
  • Dhiraj Dandekar - Prediction of Vehicle behavior by Simulation of Faults in Lateral Control of Highly Automated Commercial Vehicles and Derivation of Requirements for a Redundancy Concept
2021
  • Michael Wittemaier - Modelling of an Adaptable Autonomous System using Adaptation Techniques and Machine Learning
2021
  • Kaivlya Patel - Parameterized Tool for Tradespace Analysis for Fact-based Concept Decisions in Systems Engineering
2021
  • Clement John Shaji - Diversity for Safety and Security of Autonomous Vehicles against Accidental and Deliberate Faults
2021
  • Ali Faraz - Dynamic Risk Assessment for Adaptable Autonomous Systems using Machine-Learning technique
2020