Trajectory Prediction
250 papers with code • 29 benchmarks • 34 datasets
Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.
Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Benchmarks
These leaderboards are used to track progress in Trajectory Prediction
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Libraries
Use these libraries to find Trajectory Prediction models and implementationsDatasets
nuScenes
Argoverse
UCY
highD Dataset
INTERACTION Dataset
ApolloScape
Waymo Open Motion Dataset
ETH
inD Dataset
HDD
Most implemented papers
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
shuaishiliu/SGCN
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Meanwhile, we use a sparse directed temporal graph to model the motion tendency, thus to facilitate the prediction based on the observed direction.
Social Attention: Modeling Attention in Human Crowds
huang-xx/STGAT
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In this work, we propose Social Attention, a novel trajectory prediction model that captures the relative importance of each person when navigating in the crowd, irrespective of their proximity.
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
daeheepark/PathPredictNusc
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Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact.
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
rohanchandra30/TrackNPred
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CVPR 2019
We evaluate the performance of our prediction algorithm, TraPHic, on the standard datasets and also introduce a new dense, heterogeneous traffic dataset corresponding to urban Asian videos and agent trajectories.
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
Reliable 4D aircraft trajectory prediction, whether in a real-time setting or for analysis of counterfactuals, is important to the efficiency of the aviation system.
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
google/next-prediction
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CVPR 2019
To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
Factorised Neural Relational Inference for Multi-Interaction Systems
ekwebb/fNRI
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Many complex natural and cultural phenomena are well modelled by systems of simple interactions between particles.
Kinematic Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
This article is meant to be used along with the published code to establish baselines for further work.
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
aras62/PIEPredict
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ICCV 2019
To date, only a few public datasets were proposed for the purpose of studying pedestrian behavior prediction in the context of intelligent driving.
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
We instead frame the trajectory prediction problem as classification over a diverse set of trajectories.
