|Website:||website containing additional information|
|History:||This course was formerly known as Path planning (INFOMPAP). You can only do one of these courses.|
|Period:||period 4 (week 17 through 26, i.e., 26-4-2021 through 2-7-2021; retake week 28)|
|Participants:||up till now 0 subscriptions|
|Schedule:||Official schedule representation can be found in MyTimetable|
|Note:||No up-to-date course description available.|
Text below is from year 2019/2020
|Contents:||A huge challenge in computer games and other applications is to simulate large crowds of moving agents in a virtual environment in real-time. These agents need to avoid collisions with obstacles and with other characters. Also, it is important that their paths are visually compelling or even realistic (depending on the application).|
In this course, we will study and discuss state-of-the-art research papers on path planning and crowd simulation, and we will analyze how to apply these techniques in applications that need realistic crowds.
A selection of research papers on path planning and crowd simulation is available on the course website ("Literature"). You will give a presentation on one of them, and write summaries and critical reviews of the other papers. We will discuss these papers during our online meetings.
|Course form:||This course is a seminar with regular mandatory online meetings. In most of these meetings, you will present and discuss research papers. There are also a few standard lectures, and some sessions in which you will present assignment results. See the course website for a detailed schedule.|
There will be various other assignments next to the presentations and abstracts mentioned before. In these assignments, you will study crowd simulation problems in current games, and you will work in small group on a selected problem related to crowds.
|Exam form:||There is no written exam. Your final grade for this course will be a weighted average of the assignments' grades. The exact weighting rules can be found on the course website ("Assignments").|
|Minimum effort to qualify for 2nd chance exam:||To qualify for the retake exam, the grade of the original must be at least 4.|
|Description:||This course has the following learning goals. After having passed the course, the student: