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Multimodal trajectory forecasting based on discrete heat map
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classification
cs.CV
keywords
forecastingtargetstrajectoriestrajectoryargoversecompetitiondiscretedistribution
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In Argoverse motion forecasting competition, the task is to predict the probabilistic future trajectory distribution for the interested targets in the traffic scene. We use vectorized lane map and 2 s targets' history trajectories as input. Then the model outputs 6 forecasted trajectories with probability for each target.
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