Papers Trajectory Recovery
“Trajectory Recovery” 태그가 달린 논문 25편 · 필터 해제
Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
In real-world applications, GPS trajectories often suffer from low sampling rates, with large and irregular intervals between consecutive GPS points. This sparse characteristic presents challenges for their direct use in…
Trajectory RecoveryDiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
In the real world, trajectory data is often sparse and incomplete due to low collection frequencies or limited device coverage. Trajectory recovery aims to recover these missing trajectory points, making the trajectories…
Graph EmbeddingTrajectory RecoveryDeblur Gaussian Splatting SLAM
We present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp reconstructions from motion-blurred inputs. The proposed method bridges the strengths of both frame-to-frame and frame-to-model approaches to m…
DeblurringImage DeblurringTrajectory RecoverySecure Data Reconstruction: A Direct Data-Driven Approach
This paper addresses the problem of secure data reconstruction for unknown systems, where data collected from the system are susceptible to malicious manipulation. We aim to recover the real trajectory without prior know…
State Space ModelsTrajectory RecoveryEFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems
Parameter estimation and trajectory reconstruction for data-driven dynamical systems governed by ordinary differential equations (ODEs) are essential tasks in fields such as biology, engineering, and physics. These inver…
Computational EfficiencyDenoisingNumerical Integrationparameter estimation+1Mining Platoon Patterns from Traffic Videos
Discovering co-movement patterns from urban-scale video data sources has emerged as an attractive topic. This task aims to identify groups of objects that travel together along a common route, which offers effective supp…
Trajectory RecoveryPTR: A Pre-trained Language Model for Trajectory Recovery
Spatiotemporal trajectory data is vital for web-of-things services and is extensively collected and analyzed by web-based hardware and platforms. However, issues such as service interruptions and network instability ofte…
Language ModelingLanguage ModellingTrajectory RecoveryDemystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement
Once analysed, location trajectories can provide valuable insights beneficial to various applications. However, such data is also highly sensitive, rendering them susceptible to privacy risks in the event of mismanagemen…
Privacy PreservingTrajectory RecoveryTrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
With the proliferation of location-aware devices, large amount of trajectories have been generated when agents such as people, vehicles and goods flow around the urban environment. These raw trajectories, typically colle…
Trajectory RecoveryLightTR: A Lightweight Framework for Federated Trajectory Recovery
With the proliferation of GPS-equipped edge devices, huge trajectory data is generated and accumulated in various domains, motivating a variety of urban applications. Due to the limited acquisition capabilities of edge d…
Computational EfficiencyFederated LearningTrajectory RecoveryMicro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems. Alth…
DecoderTrajectory RecoveryUVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
Vehicle movement is frequently captured in the form of GPS trajectories, i.e., sequences of timestamped GPS locations. Such data is widely used for various tasks such as travel-time estimation, trajectory recovery, and t…
Trajectory ModelingTrajectory PredictionTrajectory RecoveryTravel Time EstimationWavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
As attitude and motion sensing components, inertial sensors are widely used in various portable devices. But the severe errors of inertial sensors restrain their function, especially the trajectory recovery and semantic …
Trajectory RecoveryVisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network
Trajectory recovery based on the snapshots from the city-wide multi-camera network facilitates urban mobility sensing and driveway optimization. The state-of-the-art solutions devoted to such a vision-based scheme typica…
ClusteringDenoisingTrajectory RecoveryA Critical Perceptual Pre-trained Model for Complex Trajectory Recovery
The trajectory on the road traffic is commonly collected at a low sampling rate, and trajectory recovery aims to recover a complete and continuous trajectory from the sparse and discrete inputs. Recently, sequential lang…
Trajectory RecoveryRNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
GPS trajectories are the essential foundations for many trajectory-based applications, such as travel time estimation, traffic prediction and trajectory similarity measurement. Most applications require a large amount of…
DecoderGraph GenerationTraffic PredictionTrajectory Recovery+1Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Trajectory Representation Learning (TRL) is a powerful tool for spatial-temporal data analysis and management. TRL aims to convert complicated raw trajectories into low-dimensional representation vectors, which can be ap…
Contrastive LearningGraph AttentionManagementRepresentation Learning+1Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm
Many important tasks such as forensic signature verification, calligraphy synthesis, etc, rely on handwriting trajectory recovery of which, however, even an appropriate evaluation metric is still missing. Indeed, existin…
DecoderDynamic Time WarpingTrajectory PredictionTrajectory RecoveryWord-level Stroke Trajectory Recovery for Handwriting with Gaussian Dynamic Time Warping
Handwriting trajectory recovery has recently gained more attention for practical applications such as personalized messages. It is a sequence learning problem from image to handwriting stroke sequence where Dynamic Time …
Dynamic Time WarpingTrajectory RecoveryTRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
Stroke order and velocity are helpful features in the fields of signature verification, handwriting recognition, and handwriting synthesis. Recovering these features from offline handwritten text is a challenging and wel…
Dynamic Time WarpingHandwriting RecognitionTrajectory Recovery