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Found 7 papers, 6 papers with code
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
Vehicle trajectory prediction has increasingly relied on data-driven solutions, but their ability to scale to different data domains and the impact of larger dataset sizes on their generalization remain under-explored.
Ranked #1 on
Trajectory Prediction
on nuScenes
(using extra training data)
Certified Human Trajectory Prediction
Trajectory prediction plays an essential role in autonomous vehicles.
Causal Imitative Model for Autonomous Driving
CIM explicitly discovers the causal model and utilizes it to train the policy.
Vehicle trajectory prediction works, but not everywhere
We further show that the generated scenes (i) are realistic since they do exist in the real world, and (ii) can be used to make existing models more robust, yielding 30-40 reductions in the off-road rate.
SVG-Net: An SVG-based Trajectory Prediction Model
Finally, we illustrate how, by using SVG, one can benefit from datasets and advancements in other research fronts that also utilize the same input format.
Are socially-aware trajectory prediction models really socially-aware?
An attack is a small yet carefully-crafted perturbations to fail predictors.
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
On the other hand, recent works use data-driven approaches which can learn complex interactions from the data leading to superior performance.
