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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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Context-Aware Trajectory Prediction [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2017 Human motion and behaviour in crowded spaces is influenced by several factors, such as the dynamics of other moving agents in the scene, as well as the static elements that might be perceived as points of attraction or obstacles. In this work, we present
Ballan, Lamberto +3 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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Human Motion Trajectory Prediction: A Survey [PDF]
The International Journal of Robotics Research, 2019 With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly important.
Arras, Kai O. +5 more
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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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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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Uncertainty-Aware Multimodal Trajectory Prediction via a Single Inference from a Single Model [PDF]
SensorsIn the domain of autonomous driving, trajectory prediction plays a pivotal role in ensuring the safety and reliability of autonomous systems, especially when navigating complex environments.
Ho Suk, Shiho Kim
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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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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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