Simulation platform for situation awareness in Autonomous vehicles

Autonomous Vehicles (AV) are the future transportation choice. Six functional automation levels specified by SAE J3016 lay a road map for AV design. Starting from level 3 of automation, AV takes care of driving environment monitoring. Information gathered from different data sources (Sensors installed in the car, V2X messages from nearby traffic, digital infrastructure) are combined, analysed by applying concepts of machine learning, artificial intelligence to assist the AV to perform any dynamic driving task.

Accurate knowledge about the environmental situation around the autonomous vehicle is a must to achieve SAE level 5 of automation. Complex nature of the environment and dynamic behaviour of the objects present in the surrounding environment give rise to uncertainty in measured data. Hence it is necessary to research and develop intelligent algorithms that assist autonomous vehicle to take right decisions under uncertainty. This research work focuses on the following aspects

Literature survey of different environment indicators that impact the normal driving situation.

Design of driving simulation platform using unity 3d game engine, for real world autonomous driving scenarios to test any implemented algorithm

Art der Arbeit: Research Project

Vorkenntnisse/Anforderungen: Working independently, Good knowledge in programming language C# (.NET) or C++, Good performance in the overall course

Kontakt: Sri Venkata Naga Phanindra Akula