Papers › GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation

4 Sep 2021arXiv:2109.01827archive 2025-07-28

Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde

In this paper, we propose GOHOME, a method leveraging graph representations of the High Definition Map and sparse projections to generate a heatmap output representing the future position probability distribution for a given agent in a traffic scene. This heatmap output yields an unconstrained 2D grid representation of agent future possible locations, allowing inherent multimodality and a measure of the uncertainty of the prediction. Our graph-oriented model avoids the high computation burden of representing the surrounding context as squared images and processing it with classical CNNs, but focuses instead only on the most probable lanes where the agent could end up in the immediate future. GOHOME reaches 2$nd$ on Argoverse Motion Forecasting Benchmark on the MissRate₆ metric while achieving significant speed-up and memory burden diminution compared to Argoverse 1ˢᵗ place method HOME. We also highlight that heatmap output enables multimodal ensembling and improve 1ˢᵗ place MissRate₆ by more than 15% with our best ensemble on Argoverse. Finally, we evaluate and reach state-of-the-art performance on the other trajectory prediction datasets nuScenes and Interaction, demonstrating the generalizability of our method.

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Tasks

Motion EstimationMotion ForecastingTrajectory Prediction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Motion Forecasting Argoverse CVPR 2020 GOHOME DAC (K=6) 0.9811 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME MR (K=1) 0.5724 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME MR (K=6) 0.1048 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME brier-minFDE (K=6) 1.9834 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME minADE (K=1) 1.6887 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME minADE (K=6) 0.9425 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME minFDE (K=1) 3.6468 #73 of 299 Archive leaderboard report
Motion Forecasting Argoverse CVPR 2020 GOHOME minFDE (K=6) 1.4503 #73 of 299 Archive leaderboard report
Trajectory Prediction INTERACTION Dataset - Validation GOHOME minFDE1 0.61 #4 of 4 Archive leaderboard report
Trajectory Prediction INTERACTION Dataset - Validation GOHOME minFDE6 0.45 #4 of 4 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME MinADE_10 1.15 #12 of 34 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME MinADE_5 1.42 #12 of 34 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME MinFDE_1 6.99 #12 of 34 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME MissRateTopK_2_10 0.47 #12 of 34 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME MissRateTopK_2_5 0.57 #12 of 34 Archive leaderboard report
Trajectory Prediction nuScenes GOHOME OffRoadRate 0.04 #12 of 34 Archive leaderboard report

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