Tutorial Benchmarking Interactive Behavior Planning for Self-Driving Vehicles using BARK
The tutorial, which will be held during the International Conference on Intelligent Robots and Systems (IROS) in Las Vegas, Nevada (USA) on 25 October 2020, which this year will be virtual due to the current corona situation. The event is for anyone interested in becoming familiar with innovative benchmarking approaches for use with interactive decision-making algorithms.
BARK is an open source benchmarking platform designed for facilitating the comparison of approaches developed in the field of interactive behavior planning for autonomous vehicles. The tutorial offers an opportunity to more closely observe and discuss this unique approach, in which behavior models can be used interchangeably for forecasting, planning and simulation purposes. The event also aims to promote the application of the BARK platform in research and industry projects.
fortiss scientists Julian Bernhard, Klemens Esterle, Patrick Hart and Tobias Kessler will provide an insight into the following issues:
The event offers an excellent starting point for discerning the status of research activities in this field and provides an understanding of the current challenges and opportunities for future research strategies.
Doctoral students (robotics, software engineering), experienced robotics researchers in science and industry, industry specialists
Required knowledge Participants should have at least basic knowledge of decision-making processes - meaning the underlying principles of decision problems such as MDPs and POMDPs - understand and have experience with Python and have a general understanding of C++.
The exact schedule of the tutorial, plus a list of presenters and additional information is available here.
Follow the link below to register for the tutorial “Benchmarking interactive planning for self-driving vehicles using BARK”, as well as for the 2020 IROS conference.