Multi-modal interaction-aware motion prediction at unsignalized intersections
Autonomous vehicle technologies have evolved quickly over the last few years, with safety
being one of the key requirements for their full deployment. However, ensuring their safety …
being one of the key requirements for their full deployment. However, ensuring their safety …
Interaction-aware probabilistic behavior prediction in urban environments
Planning for autonomous driving in complex, urban scenarios requires accurate prediction
of the trajectories of surrounding traffic participants. Their future behavior depends on their …
of the trajectories of surrounding traffic participants. Their future behavior depends on their …
Interaction-aware intention estimation at roundabouts
Roundabouts have many benefits when compared with traditional signal-controlled
intersections: improve safety, reduce delay, improve traffic flow, are less expensive, and …
intersections: improve safety, reduce delay, improve traffic flow, are less expensive, and …
Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms
N Deo, MM Trivedi - 2018 IEEE intelligent vehicles symposium …, 2018 - ieeexplore.ieee.org
To safely and efficiently navigate through complex traffic scenarios, autonomous vehicles
need to have the ability to predict the future motion of surrounding vehicles. Multiple …
need to have the ability to predict the future motion of surrounding vehicles. Multiple …
: Framework for Online Motion Planning Using Interaction-Aware Motion Predictions in Complex Driving Situations
Motion planning is a process of constant negotiation with the rest of the traffic agents and is
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …
Modeling multiple vehicle interaction constraints for behavior prediction of vehicles on highways
P Tripicchio, S D'Avella - Computers & Electrical Engineering, 2022 - Elsevier
In the context of autonomous driving and road situation awareness, this manuscript
introduces a Bayesian network that enables the prediction of participant vehicles (PVs) …
introduces a Bayesian network that enables the prediction of participant vehicles (PVs) …
A framework for probabilistic generic traffic scene prediction
In a given scenario, simultaneously and accurately predicting every possible interaction of
traffic participants is an important capability for autonomous vehicles. The majority of current …
traffic participants is an important capability for autonomous vehicles. The majority of current …
A novel multimodal vehicle path prediction method based on temporal convolutional networks
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …
environment understanding will contribute to high-quality and meticulous path planning for …
Multi-modal vehicle trajectory prediction by collaborative learning of lane orientation, vehicle interaction, and intention
Accurate trajectory prediction is an essential task in automated driving, which is achieved by
sensing and analyzing the behavior of surrounding vehicles. Although plenty of research …
sensing and analyzing the behavior of surrounding vehicles. Although plenty of research …
Learning interaction-aware probabilistic driver behavior models from urban scenarios
Human drivers have complex and individual behavior characteristics which describe how
they act in a specific situation. Accurate behavior models are essential for many applications …
they act in a specific situation. Accurate behavior models are essential for many applications …