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Sensors and Location (CEGE0095)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Civil, Environmental and Geomatic Engineering
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Basic principles of operation, applications and integration of sensors used in smartphones and professional geomatic engineering equipment. Location technology with an emphasis on Global Navigation Satellite Systems (GNSSs), but also other radio signals, inertial sensors, digital maps (for map matching), vehicle odometers, compasses, sonar/radar and cameras. Context determination using smartphone sensors. Application of low-cost imaging and 3D imaging sensors to 3D reconstruction and positioning. How low cost sensors and smart phones can be used to gather data about the urban environment. Strengths (e.g. ability to represent individual views) and issues (data quality, coverage) will be discussed in theory and validated via practical sessions. The aim of this module is to give students a broad understanding of the capabilities of smartphone and geomatics sensors and their application in location, context determination and image understanding for both geospatial professionals and consumers.

Learning Outcomes

A broad knowledge of sensors used both by geomatic engineering professionals and by consumers on smartphones, including their basic principles of operation and their applications.

Understanding of location technology, including global navigation satellite systems (GNSS) understanding of the strengths and weaknesses of the different location technologies and how to select different combinations of sensors for different location tasks.

Understanding of how to use imaging sensors for 3D reconstruction and how to determine context from smartphone sensors.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
70% Coursework
30% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
34
Module leader
Dr Paul Groves
Who to contact for more information
p.groves@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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