Overview - Sensing and Perception

Intended learning outcomes

After successfully completing this module the participant will to be able to 

• Outline the basic operation principle behind sensors commonly used
• List strengths and weaknesses of different sensors
• Describe standard camera models
• Discuss problem types addressed in computer vision
• Outline basic principles for and challenges in positioning and mapping
• Apply TensorFlow or other frameworks for deep learning
• Basic knowledge of common algorithms in the field
• Justify decisions in the design of a solution to a problem related to sensing and perception
• Present own work to others 

A further goal is that the participant strengthens the network both at the host university and between universities. To achieve this goal, we require that you attend the sessions that are organised. 

Course setup

This module covers sensing and perception. The module is divided into three phases

• Preparation
• 2-day session
• Examination

Preparation

During the preparation phase you will study material to get a basic understanding of the topics covered in the module. The material will be a mixture of text and video. Given the vast difference in prior knowledge between participants we expect each of you to study what you need to fill the gaps you have. To assess your knowledge we have constructed a set of assessment tasks which you need to pass before the session.

Also part of this phase are some preparations assignment which you are expected to complete before the session.

To provide help in the work, get to know each other and discuss the material there will be local sessions during the preparation phase. 

2-day session

During the two day meeting you will get to meet all the course participants from all universities. There will be a mixture of lectures and hands on work.

Examination

During this phase you will finish up trailing assignments from the preparatory phase and work on some additional assignments.

Mandatory vs Optional

In the material that we provide we mark extra/optional material in RED. In quizzes a question that is optional gives 0 pts.

Schedule