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Trajectory Forecasting

15 papers with code · Computer Vision

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Greatest papers with code

Argoverse: 3D Tracking and Forecasting with Rich Maps

CVPR 2019 argoai/argoverse-api

In our baseline experiments, we illustrate how detailed map information such as lane direction, driveable area, and ground height improves the accuracy of 3D object tracking and motion forecasting.

AUTONOMOUS VEHICLES MOTION FORECASTING OBJECT TRACKING TRAJECTORY FORECASTING

Argoverse: 3D Tracking and Forecasting With Rich Maps

CVPR 2019 argoai/argoverse-api

We use 3D object tracking to mine for more than 300k interesting vehicle trajectories to create a trajectory forecasting benchmark.

3D MULTI-OBJECT TRACKING AUTONOMOUS VEHICLES MOTION FORECASTING OBJECT TRACKING TRAJECTORY FORECASTING

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

NeurIPS 2019 vincent-leguen/DILATE

We introduce a differentiable loss function suitable for training deep neural nets, and provide a custom back-prop implementation for speeding up optimization.

TIME SERIES TIME SERIES FORECASTING TRAJECTORY FORECASTING

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

NeurIPS 2019 vincent-leguen/STDL

We introduce a differentiable loss function suitable for training deep neural nets, and provide a custom back-prop implementation for speeding up optimization.

TIME SERIES TIME SERIES FORECASTING TRAJECTORY FORECASTING

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

CVPR 2019 amiryanj/socialways

We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.

HUMAN MOTION PREDICTION MULTI-FUTURE TRAJECTORY PREDICTION SELF-DRIVING CARS TRAJECTORY FORECASTING

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

CVPR 2020 JunweiLiang/Multiverse

The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals.

AUTONOMOUS DRIVING HUMAN MOTION PREDICTION MULTI-FUTURE TRAJECTORY PREDICTION SELF-DRIVING CARS TRAJECTORY FORECASTING

Transformer Networks for Trajectory Forecasting

18 Mar 2020FGiuliari/Trajectory-Transformer

In particular, the TF model without bells and whistles yields the best score on the largest and most challenging trajectory forecasting benchmark of TrajNet.

TRAJECTORY FORECASTING

Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments

26 Sep 2019olly-styles/Multiple-Object-Forecasting

In contrast to existing works on object trajectory forecasting which primarily consider the problem from a birds-eye perspective, we formulate the problem from an object-level perspective and call for the prediction of full object bounding boxes, rather than trajectories alone.

MULTIPLE OBJECT FORECASTING TRAJECTORY FORECASTING

Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling

17 Mar 2020xinshuoweng/GNNTrkForecast

To evaluate this hypothesis, we propose a unified solution for 3D MOT and trajectory forecasting which also incorporates two additional novel computational units.

3D MULTI-OBJECT TRACKING TRAJECTORY FORECASTING