Autonomous car motion prediction based on hybrid resnet model

Y Zhang, Q Li, Q Kang, Y Zhang - … International Conference on …, 2021 - ieeexplore.ieee.org
Autonomous vehicle is a technology that will substantially transform the transportation
industry. It can make the cars drive faster with fewer accidents. In an autonomous driving …

Vehicle trajectory prediction for automated driving based on temporal convolution networks

D Li, H Li, Y Xiao, B Li, B Tang - 2022 WRC Symposium on …, 2022 - ieeexplore.ieee.org
For automated driving, trajectory prediction of other surrounding vehicles is crucial to ego
vehicle's driving decision. This is especially important when automated vehicles, eg SAE …

Machine Learning Based Path Prediction System-Adapting One Model for All Intersections

KQ Huang, MT Sun - 2018 Conference on Technologies and …, 2018 - ieeexplore.ieee.org
To reduce the number of accidents, this thesis proposes a vehicle path prediction system to
predict the future direction when a vehicle is about to cross an intersection. The GPS sensor …

LSTM-based graph attention network for vehicle trajectory prediction

J Wang, K Liu, H Li - Computer Networks, 2024 - Elsevier
Abstract Vehicle Trajectory Prediction (VTP) is one of the key technologies for autonomous
driving, which can improve the safety and collaboration of the autonomous driving system …

Vehicle Trajectory Prediction with Attention Based on Convolutional Social Pooling

G Li, H Zhao, C Li, H Chen - 2023 7th CAA International …, 2023 - ieeexplore.ieee.org
In order to improve the prediction accuracy of autonomous vehicles in complex traffic
scenarios under multi-vehicle interactions, this paper proposes an attention mechanism …

Spatial-temporal ConvLSTM for vehicle driving intention prediction

H Huang, Z Zeng, D Yao, X Pei… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Driving intention prediction from a bird's-eye view has always been an active research area.
However, existing research, on one hand, has only focused on predicting lane change …

Adaptive Graph and Multi-Head Attention-Based Vehicle Trajectory Prediction

P Zhang, W Hu, B Zhang, Z Ma… - IECON 2023-49th Annual …, 2023 - ieeexplore.ieee.org
Trajectory prediction is a critical and challenging task in autonomous driving systems due to
the various driving behavior of surrounding vehicles in complex environments. The existing …

Lane transformer: A high-efficiency trajectory prediction model

Z Wang, J Guo, Z Hu, H Zhang… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not
only improves the planning of future routes, but also ensures vehicle safety. On the basis of …

SACS-LSTM: A Vehicle Trajectory Prediction Method Based on Self-Attention Mechanism#

H Wang, D Zhou, Y Zhang, N Ning, Y Zhou - Proceedings of the 2021 5th …, 2021 - dl.acm.org
High-quality trajectory prediction is crucial for autonomous vehicles with various applications
like driving safely and planning traffic trajectory in smart cities. In order to achieve high …

Attention based vehicle trajectory prediction

K Messaoud, I Yahiaoui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Self-driving vehicles need to continuously analyse the driving scene, understand the
behavior of other road users and predict their future trajectories in order to plan a safe …