HiT, an encoder-decoder trajectory predictor with dynamic centrality measures, a fuzzy inference aggressiveness score, and hypergraph behavior grouping, reports lower RMSE than the baselines tested on NGSIM, HighD, RounD, MoCAD++, and ApolloScape.
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Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
HiT, an encoder-decoder trajectory predictor with dynamic centrality measures, a fuzzy inference aggressiveness score, and hypergraph behavior grouping, reports lower RMSE than the baselines tested on NGSIM, HighD, RounD, MoCAD++, and ApolloScape.