Results 41 to 50 of about 111,129 (161)

The predictive power of trajectory motion

Vision Research, 2005
When the central region of an obliquely oriented line is bisected by a wide, vertical opaque occluder, observers misperceive the two line segments as being misaligned (the Poggendorff illusion). If the oblique line segment is replaced with a spot moving on an oblique trajectory, little if any misalignment is perceived.
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Obstacle‐transformer: A trajectory prediction network based on surrounding trajectories

IET Cyber-Systems and Robotics, 2022
Abstract Recurrent Neural Network, Long Short‐Term Memory, and Transformer have made great progress in predicting the trajectories of moving objects. Although the trajectory element with the surrounding scene features has been merged to improve performance, there still exist some problems to be solved.
Wendong Zhang, Qingjie Chai, Quanqi Zhang, Chengwei Wu 0001   +3 more
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Single Trajectory Conformal Prediction

2024 IEEE 63rd Conference on Decision and Control (CDC)
We study the performance of risk-controlling prediction sets (RCPS), an empirical risk minimization-based formulation of conformal prediction, with a single trajectory of temporally correlated data from an unknown stochastic dynamical system. First, we use the blocking technique to show that RCPS attains performance guarantees similar to those enjoyed ...
Brian Lee, Nikolai Matni
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TNT: Target-driveN Trajectory Prediction

CoRR, 2020
Predicting the future behavior of moving agents is essential for real world applications. It is challenging as the intent of the agent and the corresponding behavior is unknown and intrinsically multimodal. Our key insight is that for prediction within a moderate time horizon, the future modes can be effectively captured by a set of target states. This
Hang Zhao 0021, Jiyang Gao, Tian Lan, Chen Sun 0002, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov   +11 more
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Unmanned Aerial Vehicle Tactical Maneuver Trajectory Prediction Based on Hierarchical Strategy in Air-to-Air Confrontation Scenarios

Aerospace
The prediction of the tactical maneuver trajectory of target aircraft is an important component of unmanned aerial vehicle (UAV) autonomous air-to-air confrontation.
Yuequn Luo, Zhenglei Wei, Dali Ding, Fumin Wang, Hang An, Mulai Tan, Junjun Ma   +6 more
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Vehicle trajectory prediction in weaving area of expressway based on transfer learning

Shenzhen Daxue xuebao. Ligong ban
Vehicle trajectory prediction in complex highway weaving areas plays a crucial role in the decision-making and control of intelligent vehicles. To address the challenges of agility and accuracy issues for trajectory prediction brought by the complex ...
YIN Zijian, XU Liangjie, LIU Wei, MA Yukang, LIN Hai   +4 more
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A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction

iScience, 2023
Summary: Automatic identification system (AIS) is a vessel-based system for the automatic broadcast and reception of vessel information, and it also supports data for trajectory prediction.
Jin Chen, Jixin Zhang, Hao Chen, Yong Zhao, Hongdong Wang   +4 more
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Probability Trajectory: One New Movement Description for Trajectory Prediction

CoRR, 2021
9 ...
Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou 0003, Mingliang Xu 0001   +6 more
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A Trajectory Prediction Method for High-Speed and High-Maneuverability Glide Vehicle Based on Mid-Terminal Guidance Handover Point Identification [PDF]

Hangkong bingqi
Addressing the challenges of unclear mission scenario definition and insufficient intent prior information utilization in the trajectory prediction process for high-speed and high-maneuverability glide vehicle, a trajectory prediction method for high ...
Ma Kangkang, Zhao Liangyu, Hu Xingzhi, Li Mingjie
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Certified Human Trajectory Prediction

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Predicting human trajectories is essential for the safe operation of autonomous vehicles, yet current data-driven models often lack robustness in case of noisy inputs such as adversarial examples or imperfect observations. Although some trajectory prediction methods have been developed to provide empirical robustness, these methods are heuristic and do
Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Askari-Farsangi, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi   +4 more
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