Trajectory Modeling
10 papers with code • 1 benchmarks • 6 datasets
The equivalent of language modeling but for trajectories.
Benchmarks
These leaderboards are used to track progress in Trajectory Modeling
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
highD Dataset
inD Dataset
rounD Dataset
exiD Dataset
NBA SportVU
uniD Dataset
Most implemented papers
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
roggirg/AutoBots
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ICLR 2022
AutoBots can produce either the trajectory of one ego-agent or a distribution over the future trajectories for all agents in the scene.
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs
StanfordASL/Trajectron
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ICCV 2019
Developing safe human-robot interaction systems is a necessary step towards the widespread integration of autonomous agents in society.
Multi-layer Trajectory Clustering: A Network Algorithm for Disease Subtyping
Many diseases display heterogeneity in clinical features and their progression, indicative of the existence of disease subtypes.
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
airalcorn2/baller2vecplusplus
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NeurIPS 2021
In many multi-agent spatiotemporal systems, agents operate under the influence of shared, unobserved variables (e. g., the play a team is executing in a game of basketball).
PTRAIL -- A python package for parallel trajectory data preprocessing
Trajectory data represent a trace of an object that changes its position in space over time.
Clustering of longitudinal data: A tutorial on a variety of approaches
During the past two decades, methods for identifying groups with different trends in longitudinal data have become of increasing interest across many areas of research.
SIND: A Drone Dataset at Signalized Intersection in China
Then, the behaviors of traffic light violations in SIND are recorded.
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Trajectory similarity measures act as query predicates in trajectory databases, making them the key player in determining the query results.
Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease
Discussion: We expect that the proposed approach, due to its universality, robustness and clear physical interpretation, is a promising direction for the design of applied analysis tools for the diagnostics of various gait disturbances and behavioral aspects in animal models.
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
logan-lin/uvtm
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However, most methods target only one specific task and cannot be applied universally.
