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Found 6 papers, 4 papers with code
LMR: Lane Distance-Based Metric for Trajectory Prediction
In contrast to the Euclidean Miss Rate, qualitative results show that LMR yields misses for sequences where predictions are located on wrong lanes.
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction
It is desirable to predict the behavior of traffic participants conditioned on different planned trajectories of the autonomous vehicle.
Exploring Navigation Maps for Learning-Based Motion Prediction
Combined with our method for knowledge distillation, we achieve results that are close to the original HD map-reliant models.
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
In this work we propose SCENE, a methodology to encode diverse traffic scenes in heterogeneous graphs and to reason about these graphs using a heterogeneous Graph Neural Network encoder and task-specific decoders.
Ranked #1 on
Node Classification
on BGS
MEAT: Maneuver Extraction from Agent Trajectories
Additionally, an analysis of the datasets and an evaluation of the prediction models based on the agent dynamics is provided.
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
We therefore propose CRAT-Pred, a multi-modal and non-rasterization-based trajectory prediction model, specifically designed to effectively model social interactions between vehicles, without relying on map information.
Ranked #174 on
Motion Forecasting
on Argoverse CVPR 2020
