Results 121 to 130 of about 111,129 (161)
4D trajectory prediction and conflict detection in terminal areas based on an improved convolutional network. [PDF]
PLoS OneMa X, Zheng L, Lu X.
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Vehicle Trajectory Prediction Algorithm Based on Hybrid Prediction Model with Multiple Influencing Factors. [PDF]
Sensors (Basel)Wang T +5 more
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Exploring rounD Dataset for Domain Generalization in Autonomous Vehicle Trajectory Prediction. [PDF]
Sensors (Basel)Zhang Z.
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Preformer MOT: A transformer-based approach for multi-object tracking with global trajectory prediction. [PDF]
Fundam ResWang Y, Qing Y, Huang K, Dang C, Wu Z.
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Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a new situation. In effect, extensive data is accumulated containing situations together with the respective optimized trajectories - but this data is in practice hardly exploited.
Nikolay Jetchev, Marc Toussaint
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Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a new situation. In effect, extensive data is accumulated containing situations together with the respective optimized trajectories - but this data is in practice hardly exploited.
Nikolay Jetchev, Marc Toussaint
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian trajectory prediction is crucial for ensuring safe decision-making in intelligent robotic systems. While this task demands real-time performance, previous works have primarily focused on improving prediction accuracy, often neglecting efficiency.
Liushuai Shi +4 more
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Pedestrian trajectory prediction is crucial for ensuring safe decision-making in intelligent robotic systems. While this task demands real-time performance, previous works have primarily focused on improving prediction accuracy, often neglecting efficiency.
Liushuai Shi +4 more
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Visual Tracking With Multiview Trajectory Prediction
IEEE Transactions on Image Processing, 2020Recent progresses in visual tracking have greatly improved the tracking performance. However, challenges such as occlusion and view change remain obstacles in real world deployment. A natural solution to these challenges is to use multiple cameras with multiview inputs, though existing systems are mostly limited to specific targets (e.g. human), static
Minye Wu +6 more
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Holistic LSTM for Pedestrian Trajectory Prediction
IEEE Transactions on Image Processing, 2021Accurate predictions of future pedestrian trajectory could prevent a considerable number of traffic injuries and improve pedestrian safety. It involves multiple sources of information and real-time interactions, e.g., vehicle speed and ego-motion, pedestrian intention and historical locations.
Ruijie Quan, Linchao Zhu, Yu Wu, Yi Yang
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Hotspot District Trajectory Prediction
2010Trajectory prediction (TP) of moving objects has grown rapidly to be a new exciting paradigm. However, existing prediction algorithms mainly employ kinematical models to approximate real world routes and always ignore spatial and temporal distance.
Hongjun Li +5 more
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Algorithms for Matching and Predicting Trajectories
2011We consider the following two problems: Map Matching: Given a sequence of (imprecise) location measurements from a mobile user moving on a road network, determine the most likely path in the network this user has travelled along. Prediction of Trajectories: Given the path of where a mobile user has moved along in a road network up to now, predict where
Jochen Eisner +4 more
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