Results 31 to 40 of about 111,129 (161)
智能科学与技术学报, 2023 Pedestrian trajectory prediction aims to use observed human historical trajectories and surrounding environmental information to predict the future position of the target pedestrian, which has important application value in reducing collision risks for ...
Quancheng DU +3 more
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Multi-features taxi destination prediction with frequency domain processing. [PDF]
PLoS ONE, 2018 The traditional taxi prediction methods model the taxi trajectory as a sequence of spatial points. It cannot represent two-dimensional spatial relationships between trajectory points.
Lei Zhang +3 more
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A federated pedestrian trajectory prediction model with data privacy protection
Complex & Intelligent Systems, 2023 Pedestrian trajectory prediction is essential for self-driving vehicles, social robots, and intelligent monitoring applications. Diverse trajectory data is critical for high-accuracy trajectory prediction.
Rongrong Ni +4 more
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IEEE Access, 2022 Hypersonic glide vehicle (HGV) has brought severe challenges to the existing defense system due to its characteristics of high maneuverability, high speed and high precision.
Junbiao Zhang +5 more
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An LSTM network for highway trajectory prediction [PDF]
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017 In order to drive safely and efficiently on public roads, autonomous vehicles will have to understand the intentions of surrounding vehicles, and adapt their own behavior accordingly. If experienced human drivers are generally good at inferring other vehicles' motion up to a few seconds in the future, most current Advanced Driving Assistance Systems ...
Florent Altché, Arnaud de La Fortelle
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Trajectory Predictions with Details in a Robotic Twin-Crane System
Complex System Modeling and Simulation, 2022 Nowadays, more automated or robotic twin-crane systems (RTCSs) are employed in ports and factories to improve material handling efficiency. In a twin-crane system, cranes must travel with a minimum safety distance between them to prevent interference ...
Ning Zhao +4 more
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Semantic scene upgrades for trajectory prediction
Machine Vision and Applications, 2023 Understanding pedestrian motion is critical for many real-world applications, e.g., autonomous driving and social robot navigation. It is a challenging problem since autonomous agents require complete understanding of its surroundings including complex spatial, social and scene dependencies.
Arsal Syed, Brendan Tran Morris
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Predicting User Locations and Trajectories [PDF]
, 2014 Location-based services usually recommend new locations based on the user’s current location or a given destination. However, human mobility involves to a large extent routine behavior and visits to already visited locations. In this paper, we show how daily and weekly routines can be modeled with basic prediction techniques.
Eelco Herder +2 more
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Review of Research on Airborne Target Trajectory Prediction Technology [PDF]
Hangkong bingqiIn information-based air combat, whoever can quickly obtain and effectively utilize opponent information, can accurately predict the opponent’s movement trajectory, complete the OODA cycle more quickly, and thus gain air combat advantages.
Guo Zhengyu, Liu Haoyu, Su Yu
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Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
Sensors, 2023 Real-time computation tasks in vehicular edge computing (VEC) provide convenience for vehicle users. However, the efficiency of task offloading seriously affects the quality of service (QoS).
Ruibin Yan +3 more
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