University of Twente Student Theses
Trajectory prediction of an ego-bike using IMU data from the cyclist’s smartphone
Dellebeke, Max (2025) Trajectory prediction of an ego-bike using IMU data from the cyclist’s smartphone.
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| Abstract: | Autonomous vehicles predict the trajectories of other road users to estimate future interferences. The autonomous vehicle might need to change its behaviour based on the future position of surrounding vehicles. This prediction is done using a large number of sensors. These sensors are used to collect data and predict trajectories based on these distant observations. Local data from these surrounding road users can help to establish a more accurate and advanced prediction. Data from Inertial Measurement Unit devices on vehicles is already used for trajectory predictions, but is not yet applied to bicycles in many occasions. Smartphones have an IMU device onboard that can gather data about directions, orientations, and movements. In this research, the applicability of the Robust Neural Inertial Navigation model to do trajectory estimations and predictions is investigated. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/105106 |
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