Motion Planning for Autonomous Vehicles in Urban Environment
Autonomous vehicles are seen as the future of urban transportation system as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact to the environment. Unlike driving on highways, planning and decision making for autonomous driving in the urban environment is both interesting and difficult because it pushes the research direction in both increasing the operating velocity of the autonomous system as well as the complexity of the environment. In this talk recent advances and future outlook in the field of robot motion planning, with particular application to autonomous driving in urban environment will be presented.
Hans Andersen was born in 1992 in Jakarta, Indonesia. He is a PhD candidate under Prof. Marcelo H. Ang Jr at the Department of Mechanical Engineering, National University of Singapore. He is working with the Singapore-MIT Alliance for Research and Technology (SMART) Future Urban Mobility interdisciplinary research group. He has been involved in developing multi-class autonomous vehicles for mobility on demand. He is currently a visiting scientist at the Delft University of Technology. His main research interest is motion planning and control for autonomous vehicles in urban environment, with particular focus on Model Predictive Control and its application in motion planning.