Oriented toward a mixed human-driven and machine-driven traffic environment, a vehicle trajectory prediction algorithm based on an encoding–decoding framework composed of a multiple-attention mechanism is proposed. Firstly, a directed graph is used to describe vehicle–vehicle motion dependencies...
Therefore, vehicles' trajectories are very correlated and considering vehicle interactions makes motion prediction possible even before the start of a clear maneuver pattern. To this end, we introduce and analyze trajectory prediction methods based on how they model the vehicles interactions. Inspired by...
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model阅读笔记 甲基 学生4 人赞同了该文章 摘要:轨迹预测一直是自动驾驶和机器人导航等智能系统中长期存在的问题。最近在大规模基准上训练的最先进模型已经迅速突破了性能极限,主要集中在提高预测精度上。然而,这些模型不太重视效率,而效率对于...
In this work, we introduce a novel graph-based system for vehicle path prediction, namely Spatio-Temporal Attention Graph (STAG). More specifically, STAG... MN Azadani,A Boukerche - 《Ad Hoc Networks》 被引量: 0发表: 2023年 Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory ...
Efficient multi-target vehicle trajectory prediction based on multi-scale graph convolution Multi-target vehicle trajectory prediction holds significant importance in the field of autonomous driving. Accurate trajectory prediction can enhance the ... X Gu,J Wang,D Cheng,... - 《Pattern Analysis & ...
cnn-mlp: the naïve baseline using a CNN to process the input trajectory and a Feed-Forward Neural Network to predict simultaneously every future positions. s2s-social-soft: the model based on the sequence-to-sequence architecture and a soft-attention module to account for social interactions. ...
trajectory predictionlong short-term memory networksautomatic identification systemwhale optimization algorithmNowadays, maritime transportation has become one of the most important ways of international trade. However, with the increase in ship transportation, the complex maritime environment has led to ...
Li T, Zhang Y, Li Q et al (2022) Ab-dlm: An improved deep learning model based on attention mechanism and bifpn for driver distraction behavior detection. IEEE Access 10:83138–83151 ArticleGoogle Scholar Lin L, Li W, Bi H et al (2021) Vehicle trajectory prediction using lstms with sp...
A. Heterogeneous Multi-Agent Trajectory Prediction Scheme 图1所示的框架是为多智能体轨迹预测提出的,其中智能体可能有不同的类型,利用了智能体的历史状态和基础设施信息。为了处理agent的异构性,本工作针对每种类型的agent设计了特定的编码器(IV-A1)和解码器(IV-A4)。考虑的代理被放置在它们自己的专属坐标系中,...
GIVA: Interaction-aware trajectory prediction based on GRU-Improved VGG-Attention Mechanism model for autonomous vehicles GIVA:基于GRU改进的自动驾驶车辆VGG注意力机制模型的交互感知轨迹预测 相关领域 联营 弹道 机制(生物学) 计算机科学 编码器 特征(语言学) 人工智能 编码(内存) 模拟 机器学习 天文 语言学 ...