Anhari, Nizar Fadila (2023) Trajectory Prediction Menggunakan Metode Kalman Filter Sebagai Penilaian Risiko Tabrakan Pada Trem Otonom. (Trajectory Prediction Using Kalman Filter Methods As Collision Risk Assessment On Autonomous Tram). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Autonomous tram is an LRV that have its own rail inside the city. This vehicle uses many different kind of systems to help its driver maneuvering the vehicle. One of those system is trajectory prediction. Trajectory prediction used to predict the collision risk between tram and other moving object (other vehicle or pedestrian) around it. Kalman filter is one of the most used signal processing algorithm. In this research, Kalman filter algorithm will be used to predict the trajectory of a moving object around tram. That information will be used to calculate the time to collision (TTC) and distance to collision (DTC) that will determine the decision tram should take. Keywords : Autonomous tram, Collision, Kalman filter, Trajectory prediction
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Autonomous tram, Collision, Kalman filter, Trajectory prediction |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
Depositing User: | 1461900258 Nizar Fadila Anhari |
Date Deposited: | 20 Dec 2023 05:09 |
Last Modified: | 20 Dec 2023 05:09 |
URI: | http://repository.untag-sby.ac.id/id/eprint/24504 |
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