akash chincholikar

A strategical & tactical decision making model in case of lane following and lane change maneuvers of a autonomous driving - An algorithm to evaluate the dynamics of the traffic participants on the desired lane by analyzing the gaps and selecting most suitable gap based on the gap trend, effective gap length and the relative velocity and suggesting the required action to merge into the preferred gap. - Decision Making model - C++ - ROS - Vehicle testing

1. Modelling an Intention Prediction model for a fully autonomous car at an intersection for a non- cooperative scenario 2. Optimizing the control input to make driving smoother in the scenario of automated parking 3. Decision making & motion planning. 4. Extended Kalman filter & Intelligent Driver model (ACC). 5. C++ 6. Testing the algorithm on the real vehicle at DLR parking space

A member of frame design team for UMD Racing, OVGU Magdeburg Responsible for the Design & Development of Main hoop, Front hoop & Welding fixture of FS 2018 model for FS Austria, FS Germany & FS Czech for 2019 seasaon.

As a research engineer in the Fuel & Exhaust sytems engineering design team for 3 years on Gasoline, Diesel & Plug in Hybrid systems. Was responsible for design & development of different components (Fuel & Exhaust), data management in a PDM system, maintaining the supplychain and managing all the relevant suppliers. Expertise on vehicle development process, CATIA V5 and PDM. Worked on two projects for India, Asia- Pacific and Middle East regions.