Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
Environment-attention network for vehicle trajectory prediction
In vehicle trajectory prediction, the difficulty in modeling the interaction relationship between
vehicles lies in constructing the interaction structure between the vehicles in the traffic …
vehicles lies in constructing the interaction structure between the vehicles in the traffic …
Fast-Yolo-rec: Incorporating Yolo-base detection and recurrent-base prediction networks for fast vehicle detection in consecutive images
Despite significant advances and innovations in deep network-based vehicle detection
methods, finding a balance between detector accuracy and speed remains a significant …
methods, finding a balance between detector accuracy and speed remains a significant …
Interaction-aware probabilistic trajectory prediction of cut-in vehicles using Gaussian process for proactive control of autonomous vehicles
This paper presents a probabilistic trajectory prediction of cut-in vehicles exploiting the
information of interacting vehicles. First, a probability distribution of behavioral parameters …
information of interacting vehicles. First, a probability distribution of behavioral parameters …
The interacting multiple model smooth variable structure filter for trajectory prediction
An autonomous vehicle would benefit from being able to predict trajectories of other vehicles
in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …
in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …
[HTML][HTML] Vehicle trajectory prediction and generation using LSTM models and GANs
Vehicles' trajectory prediction is a topic with growing interest in recent years, as there are
applications in several domains ranging from autonomous driving to traffic congestion …
applications in several domains ranging from autonomous driving to traffic congestion …
Incorporating driving knowledge in deep learning based vehicle trajectory prediction: A survey
Z Ding, H Zhao - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Vehicle Trajectory Prediction (VTP) is one of the key issues in the field of autonomous
driving. In recent years, more researchers have tried applying Deep Learning methods and …
driving. In recent years, more researchers have tried applying Deep Learning methods and …
[HTML][HTML] A dynamic and static context-aware attention network for trajectory prediction
Forecasting the motion of surrounding vehicles is necessary for an autonomous driving
system applied in complex traffic. Trajectory prediction helps vehicles make more sensible …
system applied in complex traffic. Trajectory prediction helps vehicles make more sensible …
Extended object tracking in curvilinear road coordinates for autonomous driving
In literature, Extended Object Tracking (EOT) algorithms developed for autonomous driving
predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle …
predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle …
[HTML][HTML] Vehicle trajectory prediction with lane stream attention-based LSTMs and road geometry linearization
D Yu, H Lee, T Kim, SH Hwang - Sensors, 2021 - mdpi.com
It is essential for autonomous vehicles at level 3 or higher to have the ability to predict the
trajectories of surrounding vehicles to safely and effectively plan and drive along trajectories …
trajectories of surrounding vehicles to safely and effectively plan and drive along trajectories …