数据增强（Data Augmentation）：通过对已有轨迹数据进行一些变换和扩充，可以生成更多样本并增加数据的多样...
TUL is usually studied as a multi-class classification problem and has gained recent attention because: (1) the number of labels/classes (i.e., users) is way larger than the number of motion patterns among various trajectories; and (2) the location-based trajectory data, especially the ...
Linking trajectories to users who generate them with deep learning techniques has been a popular research topic in recent years, due to the large-scale trajectory data obtained by ubiquitous GPS-enabled devices and the widespread applications served by the study, such as route planning, next locatio...
RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook aerodynamic trajectory [‚e·ro·dī′nam·ik trə′jek·trē] (mechanics) A trajectory or part of a trajectory in which the missile or vehicle encounters sufficient air resistance to stabilize its flight or ...
Deepmm: Deep learning based map matching with data augmentation Transformer-based mapmatching model with limited labeled data using transfer-learning approach L2mm: learning to map matching with deep models for low-quality GPS trajectory data Graphmm: Graph-based vehicular map matching by leveraging ...
Sensor data augmentation with noise for comprehensive parachute simulations Solid, Hybrid, and Liquid Motors Models Burn rate and mass variation properties from the thrust curve Define custom rocket tanks based on flux data Support for CSV and ENG file formats ...
MotionAug: Augmentation With Physical Correction for Human Motion Prediction.arXivPaperCode Motron: Multimodal Probabilistic Human Motion Forecasting.arXivPaperCode Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation.Paper Multi-Person Extreme Motion Prediction.arXivPaperCode ...
Hence, this approach is widely used for data augmentation in trajectory prediction for autonomous vehicles (Varadarajan et al., 2022, Nayakanti et al., 2022, Gu et al., 2021), as well as for pedestrian trajectory prediction (Shi et al., 2023). However, inferring the positions of the ...
Efficient and robust data augmentation for trajectory analytics: a similarity-based approach Article 28 May 2019 Streaming Trajectory Segmentation Based on Stay-Point Detection Chapter © 2024 SGTP: A Spatiotemporal Generalized Trajectory Publishing Method With Differential Privacy Article 11 Decembe...
To cope with requirement of the massive training data, we use a trajectory augmentation technique inspired by the data augmentation commonly used in the computer vision community. In the proposed framework, the latent variables that encodes the multiple types of trajectories are learned in an ...