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Trajectory distributions: A new description of movement for trajectory prediction
Trajectory prediction is a fundamental and challenging task for numerous applications, such as autonomous driving and intelligent robots. Current...
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Morphodynamical cell state description via live-cell imaging trajectory embedding
Time-lapse imaging is a powerful approach to gain insight into the dynamic responses of cells, but the quantitative analysis of morphological changes...
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On Flexible Trajectory Description for Effective Rigid Body Motion Reproduction and Recognition
Recognizing and reproducing spatiotemporal motions are necessary when analyzing behaviors and movements during human-robot interaction. Rigid body...
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Trajectory
Section III is focused on flight trajectory planning, execution, and monitoring, building on the air navigation fundamentals and air navigation...
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Adaptive Iterative Learning Trajectory Tracking Control for Spraying Manipulator With Arbitrary Initial States and Iteration-varying Reference Trajectory
This paper presents a novel adaptive iterative learning control (AILC) scheme to improve the tracking performance of the manipulator for spraying...
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A detailed description of the distress trajectory from pre- to post-treatment in breast cancer patients receiving neoadjuvant chemotherapy
PurposeTo characterize the distress trajectory in patients with newly diagnosed, non-metastatic breast cancer from pre-neoadjuvant chemotherapy until...
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SGAMTE-Net: A pedestrian trajectory prediction network based on spatiotemporal graph attention and multimodal trajectory endpoints
Predicting pedestrians' future trajectories is crucial in fields like autonomous driving and robotics. Pedestrian behavior is influenced by...
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Modal Analysis and Vortex Trajectory Description for Tip Leakage Flow of a Transonic Turbine Cascade
Tip leakage vortex (TLV), which develops from the clearance between the turbine blade and casing, has been studied for decades. Nevertheless, some...
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Analysing the benefits of trajectory deviations for planar trajectory optimisation
Aircraft traverse airspace sectors under the supervision of Air Traffic Controllers by following navigation points. The trajectories can deviate from...
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Research on Human Driving Characterised Trajectory Planning and Trajectory Tracking Control Based on a Test Track
The trajectory planning plays an important role in realizing the autonomous driving process. The trajectory that reflects the driving habits of human...
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GTraclus: a novel algorithm for local trajectory clustering on GPUs
Due to the high availability of location-based sensors like GPS, it has been possible to collect large amounts of spatio-temporal data in the form of...
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Vessel Trajectory Segmentation: A Survey
Vessel trajectory data, usually derived from AIS data, serves as a robust foundation for extensive research on vessel movements and behaviors. The...
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Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing, and city science. Self-driving, traffic prediction,...
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Data-based Vehicle Trajectory Prediction Model for Lane-change Maneuver
Several advanced driver assistance systems (ADASs) control a vehicle in the longitudinal direction. However, an ADAS that controls the vehicle in the...
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SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity
The pervasiveness of GPS-equipped smart devices and the accompanying deployment of sensing technologies generates increasingly massive amounts of...
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Sub-trajectory clustering with deep reinforcement learning
Sub-trajectory clustering is a fundamental problem in many trajectory applications. Existing approaches usually divide the clustering procedure into...
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Trajectory inference across multiple conditions with condiments
In single-cell RNA sequencing (scRNA-Seq), gene expression is assessed individually for each cell, allowing the investigation of developmental...
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Indexing spatiotemporal trajectory data streams on key-value storage
In a trajectory management system, moving objects are typically equipped with GPS devices to report their locations to a data store. Given the...
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Example-driven trajectory learner for robots under structured static environment
With the breakthroughs in machine learning and computing infrastructures that have led to significant performance improvements in cognitive robotics,...
