Lane-attention: Predicting vehicles' moving trajectories by learning their attention over lanes
Accurately forecasting the future movements of surrounding vehicles is essential for safe
and efficient operations of autonomous driving cars. This task is difficult because a vehicle's …
and efficient operations of autonomous driving cars. This task is difficult because a vehicle's …
Interacting vehicle trajectory prediction with convolutional recurrent neural networks
S Mukherjee, S Wang, A Wallace - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Anticipating the future trajectories of surrounding vehicles is a crucial and challenging task
in path planning for autonomy. We propose a novel Convolutional Long Short Term Memory …
in path planning for autonomy. We propose a novel Convolutional Long Short Term Memory …
Probabilistic multi-modal trajectory prediction with lane attention for autonomous vehicles
Trajectory prediction is crucial for autonomous vehicles. The planning system not only needs
to know the current state of the surrounding objects but also their possible states in the …
to know the current state of the surrounding objects but also their possible states in the …
Scout: Socially-consistent and understandable graph attention network for trajectory prediction of vehicles and vrus
Autonomous vehicles navigate in dynamically changing environments under a wide variety
of conditions, being continuously influenced by surrounding objects. Mod-elling interactions …
of conditions, being continuously influenced by surrounding objects. Mod-elling interactions …
ST-LSTM: Spatio-temporal graph based long short-term memory network for vehicle trajectory prediction
G Chen, L Hu, Q Zhang, Z Ren, X Gao… - … Conference on Image …, 2020 - ieeexplore.ieee.org
Autonomous vehicles need the ability to predict the trajectory of surrounding vehicles, so as
to make a rational decision planning, improve driving safety and ride comfort. In this paper, a …
to make a rational decision planning, improve driving safety and ride comfort. In this paper, a …
Ra-gat: Repulsion and attraction graph attention for trajectory prediction
Z Ding, Z Yao, H Zhao - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Precise trajectory prediction in complex driving scenarios is crucial for autonomous vehicles.
To achieve so, the autonomous vehicle has to effectively model the interactions between …
To achieve so, the autonomous vehicle has to effectively model the interactions between …
Multimodal trajectory predictions for urban environments using geometric relationships between a vehicle and lanes
A Kawasaki, A Seki - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Implementation of safe and efficient autonomous driving systems requires accurate
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …
prediction of the long-term trajectories of surrounding vehicles. High uncertainty in traffic …
Maneuver-based trajectory prediction for self-driving cars using spatio-temporal convolutional networks
B Mersch, T Höllen, K Zhao… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
The ability to predict the future movements of other vehicles is a subconscious and effortless
skill for humans and key to safe autonomous driving. Therefore, trajectory prediction for …
skill for humans and key to safe autonomous driving. Therefore, trajectory prediction for …
Multi-modal trajectory prediction for autonomous driving with semantic map and dynamic graph attention network
B Dong, H Liu, Y Bai, J Lin, Z Xu, X Xu… - arXiv preprint arXiv …, 2021 - arxiv.org
Predicting future trajectories of surrounding obstacles is a crucial task for autonomous
driving cars to achieve a high degree of road safety. There are several challenges in …
driving cars to achieve a high degree of road safety. There are several challenges in …
A survey on deep-learning approaches for vehicle trajectory prediction in autonomous driving
With the rapid development of machine learning, autonomous driving has become a hot
issue, making urgent demands for more intelligent perception and planning systems. Self …
issue, making urgent demands for more intelligent perception and planning systems. Self …