典型文献
A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving
文献摘要：
In mixed and dynamic traffic environments,accurate long-term trajectory forecasting of surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to accomplish reasonable behavioral decisions and guarantee driving safety.In this paper,we propose an integrated probabilistic architecture for long-term vehicle trajectory prediction,which consists of a driving inference model(DIM)and a trajectory prediction model(TPM).The DIM is designed and employed to accurately infer the potential driving intention based on a dynamic Bayesian network.The proposed DIM incorporates the basic traffic rules and multivariate vehicle motion information.To further improve the prediction accuracy and realize uncertainty estimation,we develop a Gaussian process-based TPM,considering both the short-term prediction results of the vehicle model and the driving motion characteristics.Afterward,the effectiveness of our novel approach is demonstrated by conducting experiments on a public naturali-stic driving dataset under lane-changing scenarios.The superior performance on the task of long-term trajectorv prediction is presented and verified by comparing with other advanced methods.
文献关键词：
中图分类号：
作者姓名：
Jinxin Liu;Yugong Luo;Zhihua Zhong;Keqiang Li;Heye Huang;Hui Xiong
作者机构：
State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China
文献出处：
引用格式：
[1]Jinxin Liu;Yugong Luo;Zhihua Zhong;Keqiang Li;Heye Huang;Hui Xiong-.A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving)[J].工程（英文）,2022(12):228-239
A类：
preconditions,naturali,stic,trajectorv
B类：
Probabilistic,Architecture,Long,Term,Vehicle,Trajectory,Prediction,Autonomous,Driving,In,mixed,dynamic,traffic,environments,long,term,trajectory,forecasting,surrounding,vehicles,one,indispensable,autonomous,accomplish,reasonable,behavioral,decisions,guarantee,driving,safety,this,paper,we,integrated,probabilistic,architecture,prediction,which,consists,inference,model,DIM,TPM,designed,employed,accurately,potential,intention,Bayesian,network,proposed,incorporates,basic,rules,multivariate,motion,information,To,further,improve,accuracy,realize,uncertainty,estimation,develop,Gaussian,process,considering,both,short,results,characteristics,Afterward,effectiveness,our,novel,approach,demonstrated,by,conducting,experiments,public,dataset,under,lane,changing,scenarios,superior,performance,task,presented,verified,comparing,other,advanced,methods
AB值：
0.611844
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
