SESSION LIST

SESSION DETAILS

SS07: Simulation and Navigation for Intelligent Vehicles
( CFP )

Session Code: a8uy6

Organizers

  • Xiangbin Wu
    Affiliation: Director of Intelligent Driving Lab, Intel Labs, China.
    E-mail: Xiangbin.wu@intel.com

  • Dinesh Manocha
    Affiliation: Professor, University of North Carolina at Chapel Hill, USA
    E-mail: dmanocha@gmail.com

  • Ruigang Yang
    Affiliation: the Chief Scientist for 3D vision with Baidu Research at Baidu. Inc., China
    E-mail: dmanocha@gmail.com

Scope and Goals

Simulation has become a mainstream approach to provide more training data to autonomous driving and also large scale testing of the robustness and user experience of autonomous driving. Great examples of open source simulation tools such as Carla and Autonovi has facilitated such work in both the academic and industrial research communities. Many large companies working on autonomous driving capabilities are investing considerable efforts in developing good simulators (e.g. Apollo by Baidu, CarCraft by Google, etc.) Despite the widespread interest of simulation and planning for autonomous driving research and development, there are still many research challenges for developing a versatile simulation framework that can easily be applied to autonomous driving topics. This workshop will invite key research leaders in this field to introduce their latest work in this field and also share their perspectives on further challenges and how to solve those challenges.

Topics of Interest

  • Simulation software framework for autonomous driving
  • Environment simulation
  • Traffic Participants (people, vehicles, cyclists, etc.) behavior simulation
  • Simulation and machine learning/deep learning
  • Simulation and user experience testing