Linao Zhang

BiCAT: bidirectional cross-attention for asynchronous heterogeneous multi-source trajectory association

Xiaolong Wan, Sinuo Zheng, Mu Yan, Linao Zhang et autres

In recent years, multi-source, multi-target trajectory association is critical for air traffic management and intelligent transportation systems. Yet prevailing methods rely on rigid temporal alignment and hand-crafted rules; they deteriorate under cross-modal asynchrony, heterogeneous measurements, and high-density scenes. This paper presents BiCAT …

cn (code pays fourni par la source)

Transformer-Based Multi-Target Tracking with Unified Association and Filtering

Sinuo Zheng, Xiao-Long Wan, Linao Zhang, Peixiang Ni et autres

Multi-target tracking (MTT) aims to estimate both the varying number and motion state of targets based on noisy measurements. While model-driven MTT methods perform well with accurate models, they face performance deterioration due to model mismatch. To address this issue, model-free approaches …

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The Extended Target Trajectory PHD Filter Combined with Interacting Multiple Model

Yuhuan Xiong, Xi Cao, Yi Luo, Linao Zhang et autres

With the improvement of sensor resolution, extended targets (ETs), characterised by multiple measurements, have become a hotspot in the field of target tracking. The trajectory probability hypothesis density (TPHD) filter, which inherently provides trajectory estimates, stands out as an effective tracking filter. …

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Transformer Based Advanced Multi-Target Tracking with Guiding Mechanism

Linao Zhang, Yuhuan Xiong, Xinwei Wei, Xiao-Long Wan et autres

In practice, the nonlinearity of the observation model increases the complexity of the Multi-target Tracking (MTT) problem. Compared to model-based methods, deep learning (DL) is able to learn complex relationships in the data through training, and thus is gradually gaining attention in …

cn (code pays fourni par la source)

Transformer-based Multi-Sensor Hybrid Fusion for Multi-Target Tracking

Xinwei Wei, Linao Zhang, Yiru Lin, Jianwei Wei et autres

Deep learning (DL) approaches, which do not rely on models and can learn complex relationships within data, garner increasing attention in the model-free multi-target tracking (MTT) domain. However, the study of applying the DL method to multi-sensor fusion-based MTT is relatively less. …

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Transformer-based Multi-Target Tracking with Bayesian Perspective

Xinwei Wei, Yiru Lin, Linao Zhang, Zhiyuan Zou et autres

The Bayesian inference has a two-step recursion structure, i.e., prediction and updating, which can be viewed as a dynamic reasoning process. Based on this elegant structure, various multi-target tracking (MTT) algorithms have been invented and successfully applied in many areas. On the …

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Transformer based Online Continuous Multi-Target Tracking with State Regression

Xinwei Wei, Linxiu Chen, Chenyu Zhang, Yiru Lin et autres

Multi-target Tracking (MTT) is the process of processing received measurements to maintain estimates of the current status of multiple targets, with important applications to autonomous driving, aerial reconnaissance, underwater operations, and others. In the model-based setting, Bayesian filtering can provide the theoretical …

cn, us (code pays fourni par la source)

Inspection focus technology of space tridimensional mapping camera based on astigmatic method (EI CONFERENCE)

Zixu Wang, Linao Zhang

Accuracy Evaluation of Terrain Modelling from IKONS Stereo Imagery

Cs Fraser, Joanne Poon, Chaocheng Zhang, A. Gruen et autres