Spatial Reasoning from Sensor Data
About This Course
Spatial sensing and reasoning technology has been used for niche enterprise and industrial applications, such as mapping and urban planning, robotic navigation, for several years. This technology has caught on in recent years and found a wide range of application markets that include automotive, consumer, industrial, and many others.
This course presents the both fundamental technology of spatial reasoning from sensor data, and practical skills and strategies for real-world applications through workshop sessions.
In this 3-day course, it covers the fundamental principles of spatial sensing technology, such as scene representation, scanning and mapping, and spatial reasoning from sensor data, as well as practical workshop sessions that allow participants to simulate and implement hands-on spatial sensing and reasoning techniques.
This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.
What You'll Learn
�Introduction to spatial sensing and reasoning from sensor data
�Spatial sensing: 3D sensor data representation and modelling
�Workshop on 3D sensor data representation and modelling, such as constructing 3D scene map based on image/video captured by the camera.
Day 2
�Spatial reasoning: Scanning, mapping, localization
�Workshop on scene mapping and localization from sensor data, such as building a camera-based localization system for place recognition.
Day 3
�Spatial reasoning: Object and scene recognition
�Case studies and workshop on design and build a spatial reasoning system, such as building a vision-based inspection system for building defect inspection and inventory checking in warehouse.
Final written assessment test.
Entry Requirements
Please see course weblink for more information