Trajectory and velocity prediction of cut-in vehicles with deep learning method
Numerous studies have been conducted to predict lane-change trajectories. The significant differences between cut-ins and other lane changes suggest the necessity of building specialized algorithms tailored to learning vehicle cut-ins. In this paper, we explore predicting the trajectory and velocity...
Saved in:
Main Author: | Wang, Hanfeng |
---|---|
Other Authors: | Su Rong |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181883 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Trajectory prediction in lane-change vehicles with deep learning method
by: Gam, Arion Yi Hao
Published: (2024) -
Deep learning-based interaction-aware trajectory prediction for autonomous vehicles
by: Mo, Xiaoyu
Published: (2022) -
Vehicle trajectory map-matching method based on deep neural networks
by: Wang, Yiquan
Published: (2023) -
Deep learning-based lane change trajectory prediction
by: Xu, Fengchen
Published: (2024) -
Trajectory prediction for autonomous driving using deep learning approach
by: Du, Weifang
Published: (2024)