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Contribution Details
| Type | Bachelor's Thesis |
| Scope | Discipline-based scholarship |
| Title | LaFlector: Passive Tracking based on LiDAR |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2021 |
| Abstract Text | The reliable measurement of objects in time and space is a prerequisite for many future technologies such as autonomous driving. There are various methods based on diff erent measuring instruments. One of these measurement methods for distance measurement and object gathering is called light detection and ranging, or LiDAR for short. For example, Volvo, known for its high vehicle safety, is using LiDAR sensors in its next generation of vehicles. But not only movements of road users are interesting but also movements in a room, for example to determine the visitor frequency at an exhibition. This bachelor thesis is about the design of a system for tracking static and moving objects, in this case people, in a closed room with the help of a LiDAR sensor. For this purpose an interface between a LiDAR scanner and a database is developed. In the independent, subsequent data processing the data is checked for objects. The developed system called LaFlector can detect, classify and track several objects simultaneously. The detected objects are recorded and dynamically displayed to the user in a coordinate system. The evaluation shows that the system can reliably detect, classify and track objects, taking into account the limitations of a single LiDAR scanner. |
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