Vehicle Path Prediction Using Recurrent Neural Network

Vehicle Path Prediction Using Recurrent Neural Network

Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using on...

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Bibliographic Details
Main Author: Tekin, Mim Kemal
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2020
Subjects:
computer vision
autonomous driving
deep learning
uncertainty in deep learning
Computer Sciences
Datavetenskap (datalogi)
Natural Sciences
Naturvetenskap
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166134

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166134

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