Attention-Linear Trajectory Prediction [PDF]
SensorsRecently, a large number of Transformer-based solutions have emerged for the trajectory prediction task, but there are shortcomings in the effectiveness of Transformers in trajectory prediction. Specifically, while position encoding preserves some of the
Baoyun Wang +4 more
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Short-Term 4D Trajectory Prediction for UAV Based on Spatio-Temporal Trajectory Clustering
IEEE Access, 2022 To improve the trajectory prediction accuracy of unmanned aerial vehicles (UAVs) with random behavior intentions, this paper presents a short-term four-dimensional (4D) trajectory prediction method based on spatio-temporal trajectory clustering. A spatio-
Gang Zhong +4 more
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A Novel Trajectory Feature-Boosting Network for Trajectory Prediction
Entropy, 2023 Trajectory prediction is an essential task in many applications, including autonomous driving, robotics, and surveillance systems. In this paper, we propose a novel trajectory prediction network, called TFBNet (trajectory feature-boosting network), that ...
Qingjian Ni +3 more
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Aircraft 4D Trajectory Prediction in Civil Aviation: A Review
Aerospace, 2022 Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory prediction is a key technology for existing automation systems and the basis for future trajectory-based operations.
Weili Zeng +4 more
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Dynamic Graph Neural Network for Vehicle Trajectory Prediction and Driving Intent Recognition [PDF]
SensorsTo address the limitations of existing vehicle trajectory prediction methods, including insufficient modeling of dynamic inter-vehicle interactions, weak temporal continuity of complex driving intentions such as lane-changing, and high uncertainty in ...
Shaobo Wu, Yuxuan Wang, Yi Gong
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A Hybrid CNN-LSTM Model for Aircraft 4D Trajectory Prediction
IEEE Access, 2020 The 4D trajectory is a multi-dimensional time series with plentiful spatial-temporal features and has a high degree of complexity and uncertainty. Aiming at these features of aircraft flight trajectory and the problem that it is difficult for existing ...
Lan Ma, Shan Tian
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A Survey of Deep Learning-Based Pedestrian Trajectory Prediction: Challenges and Solutions [PDF]
SensorsPedestrian trajectory prediction is widely used in various applications, such as intelligent transportation systems, autonomous driving, and social robotics. Precisely forecasting surrounding pedestrians’ future trajectories can assist intelligent agents
Jiaming Jiang +3 more
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Encoder-Decoder Multi-Step Trajectory Prediction Technology Based on LSTM [PDF]
Hangkong bingqi, 2021 Aiming at the trajectory and motion characteristics of weakly constrained non-cooperative targets, a LSTM-based encoder-decoder multi-step trajectory prediction technology (EDMTP) is proposed. The introduction of first-order difference processing reduces
Li Qingyong, He Bing, Zhang Xianyang, Zhu Xiaoyu, Liu Gang
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Review of Trajectory Prediction Technology in Autonomous Driving Scenes [PDF]
Jisuanji gongcheng, 2023 Trajectory prediction is a key technology in the fields of autonomous driving and intelligent transportation. The accurate prediction of trajectories for vehicles and moving pedestrians can improve the perception of environmental changes in autonomous ...
LI Xuesong, ZHANG Qieshi, SONG Chengqun, KANG Yuhang, CHENG Jun
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Noise robust aircraft trajectory prediction via autoregressive transformers with hybrid positional encoding [PDF]
Scientific ReportsAircraft trajectory prediction is vital for ensuring safe and efficient air travel while addressing challenges in complex and dynamic environments. Current trajectory prediction models often struggle in noisy scenarios due to their lack of robustness ...
Youyou Li, Yuxiang Fang, Teng Long
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