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contributor authorYuan, Yi
contributor authorLi, Peng
date accessioned2026-08-20T20:57:23Z
date available2026-08-20T20:57:23Z
date copyright2026/02/25
date issued2026
identifier otherJTEPBS.TEENG-9445.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313728
description abstractAbstractWith the rapid development of artificial intelligence, autonomous driving has advanced significantly. Vehicle trajectory prediction, a key component of autonomous driving, directly affects the quality of planning and decision-making in dynamic ...
publisherAmerican Society of Civil Engineers
titleFramework for Autonomous Driving Trajectory Prediction via Physics-Constrained Data Fusion and Spatiotemporal Encoding
typeJournal Article
journal volume152
journal issue5
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9445
journal fristpage04026023-1
journal lastpage04026023-15
page15
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 005
contenttypeFulltext


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