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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
doaj +1 more source
Show me the way to Monte Carlo: density-based trajectory navigation [PDF]
We demonstrate the use of uncertain prediction in a system for pedestrian navigation via audio with a combination of Global Positioning System data, a music player, inertial sensing, magnetic bearing data and Monte Carlo sampling for a density following ...
Murray-Smith, R. +2 more
core +2 more sources
Trajectory Predictions with Details in a Robotic Twin-Crane System
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
doaj +1 more source
A Two-Block RNN-Based Trajectory Prediction From Incomplete Trajectory [PDF]
Trajectory prediction has gained great attention and significant progress has been made in recent years. However, most works rely on a key assumption that each video is successfully preprocessed by detection and tracking algorithms and the complete observed trajectory is always available.
Ryo Fujii +3 more
openaire +3 more sources
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for intelligent and autonomous vehicles.
Chang, Dong Eui +4 more
core +1 more source
Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
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
doaj +1 more source
Driver influence on vehicle trajectory prediction
Drivers continually interact with other road users and use information from the road environment to make decisions to control their vehicle. A clear understanding of different parameters impacting this interaction can provide us with a new design approach for a more effective driver assistance system - a personalised trajectory prediction system.
Mahrokh Khakzar +4 more
openaire +3 more sources
Review of Research on Airborne Target Trajectory Prediction Technology [PDF]
In 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
doaj +1 more source
Transformer based trajectory prediction
To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it. Motion prediction is an extremely challenging task which recently gained significant attention of the research community. In this work, we present a simple and yet strong baseline for uncertainty aware motion prediction based purely on ...
Postnikov, Aleksey +2 more
openaire +2 more sources
Predicting an epidemic trajectory is difficult [PDF]
Predicting the trajectory of a novel emerging pathogen is like waking in the middle of the night and finding yourself in motion—but not knowing where you are headed, how fast you are traveling, how far you have come, or even what manner of vehicle conveys you into the darkness. A few scattered anomalies resolve into defined clusters.
Wilke, Claus O., Bergstrom, Carl T.
openaire +2 more sources

