Motion transformer with global intention localization and local movement refinement
Predicting multimodal future behavior of traffic participants is essential for robotic vehicles to
make safe decisions. Existing works explore to directly predict future trajectories based on …
make safe decisions. Existing works explore to directly predict future trajectories based on …
Densetnt: End-to-end trajectory prediction from dense goal sets
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …
Argoverse 2: Next generation datasets for self-driving perception and forecasting
We introduce Argoverse 2 (AV2)-a collection of three datasets for perception and forecasting
research in the self-driving domain. The annotated Sensor Dataset contains 1,000 …
research in the self-driving domain. The annotated Sensor Dataset contains 1,000 …
Query-centric trajectory prediction
Predicting the future trajectories of surrounding agents is essential for autonomous vehicles
to operate safely. This paper presents QCNet, a modeling framework toward pushing the …
to operate safely. This paper presents QCNet, a modeling framework toward pushing the …
Vip3d: End-to-end visual trajectory prediction via 3d agent queries
Perception and prediction are two separate modules in the existing autonomous driving
systems. They interact with each other via hand-picked features such as agent bounding …
systems. They interact with each other via hand-picked features such as agent bounding …
Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …
predictions of interactive behaviors between traffic participants. This paper tackles the …
Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding
Encoding a driving scene into vector representations has been an essential task for
autonomous driving that can benefit downstream tasks eg, trajectory prediction. The driving …
autonomous driving that can benefit downstream tasks eg, trajectory prediction. The driving …
Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints
Existing trajectory prediction methods for autonomous driving typically rely on one-stage
trajectory prediction models which condition future trajectories on observed trajectories …
trajectory prediction models which condition future trajectories on observed trajectories …
Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Predicting the future states of surrounding traffic participants and planning a safe, smooth,
and socially compliant trajectory accordingly are crucial for autonomous vehicles (AVs) …
and socially compliant trajectory accordingly are crucial for autonomous vehicles (AVs) …
Traj-mae: Masked autoencoders for trajectory prediction
Trajectory prediction has been a crucial task in building a reliable autonomous driving
system by anticipating possible dangers. One key issue is to generate consistent trajectory …
system by anticipating possible dangers. One key issue is to generate consistent trajectory …