Summary and Reflections on Pedestrian Trajectory Prediction in the Field of Autonomous Driving
Pedestrian trajectory prediction is a classic and challenging scientific task that involves
complex engineering science and human factors. These challenges have spurred a …
complex engineering science and human factors. These challenges have spurred a …
Generating synthetic training data for deep learning-based UAV trajectory prediction
Deep learning-based models, such as recurrent neural networks (RNNs), have been
applied to various sequence learning tasks with great success. Following this, these models …
applied to various sequence learning tasks with great success. Following this, these models …
Stochastic Non-Autoregressive Transformer-Based Multi-Modal Pedestrian Trajectory Prediction for Intelligent Vehicles
X Chen, H Zhang, F Deng, J Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pedestrian trajectory prediction, which aims at predicting the future positions of all
pedestrians in a crowd scene given their past trajectories, is the cornerstone of autonomous …
pedestrians in a crowd scene given their past trajectories, is the cornerstone of autonomous …
Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving
J Du, Y Zhao, H Cheng - arxiv preprint arxiv:2308.01496, 2023 - arxiv.org
In the field of autonomous driving, there have been many excellent perception models for
object detection, semantic segmentation, and other tasks, but how can we effectively use the …
object detection, semantic segmentation, and other tasks, but how can we effectively use the …
MissFormer:(In-) attention-based handling of missing observations for trajectory filtering and prediction
In applications such as object tracking, time-series data inevitably carry missing
observations. Following the success of deep learning-based models for various sequence …
observations. Following the success of deep learning-based models for various sequence …
Crowd Prediction and Autonomous Navigation with Partial Observations
Operating autonomous vehicles safely and efficiently in crowded pedestrian environments is
a challenging task, especially with partial observations. This is because autonomous …
a challenging task, especially with partial observations. This is because autonomous …
Goal-Oriented Transformer to Predict Context-Aware Trajectories in Urban Scenarios
The accurate prediction of road user behaviour is of paramount importance for the design
and implementation of effective trajectory prediction systems. Advances in this domain have …
and implementation of effective trajectory prediction systems. Advances in this domain have …
Pedestrian trajectory prediction with high-order interactions
N **ang, B Tian, Z Wang - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
To tackle the problem of human trajectory prediction in complex scenes, we propose a
model using hypergraph convolutional neural networks for social interaction (HGCNSI). Our …
model using hypergraph convolutional neural networks for social interaction (HGCNSI). Our …