activity
20232026
most citedOptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Multipath Extended Target Tracking with Labeled Random Finite Sets

Guanhua Ding, Qinchen Wu, Jinping Sun +3

High-resolution radar sensors are critical for autonomous systems but pose significant challenges to traditional tracking algorithms due to the generation of multiple measurements…

cs.CV2025

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation

F. Gao, Y Li, X He +2

Instance segmentation of ships in synthetic aperture radar (SAR) imagery is critical for applications such as maritime monitoring, environmental analysis, and national security. SA…

cs.CV2025★ 3 cited

OptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering

Guanhua Ding, Yuxuan Xia, Runwei Guan +5

Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-ba…

eess.SP2024★ 2 cited

LiDAR Point Cloud-based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association

Guanhua Ding, Jianan Liu, Yuxuan Xia +3

Multiple extended target tracking (ETT) has gained increasing attention due to the development of high-precision LiDAR and radar sensors in automotive applications. For LiDAR point…

eess.SP2023★ 2 cited

Which Framework is Suitable for Online 3D Multi-Object Tracking for Autonomous Driving with Automotive 4D Imaging Radar?

Jianan Liu, Guanhua Ding, Yuxuan Xia +4

Online 3D multi-object tracking (MOT) has recently received significant research interests due to the expanding demand of 3D perception in advanced driver assistance systems (ADAS)…