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20232026
most citedA Bearing-Angle Approach for Unknown Target Motion Analysis Based on Visual Measurements

36 citations · 49 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

A Bearing-Strength Method for Motion Estimation of Unknown Energy Emitters

Haoyu Chen, Zian Ning, Yin Zhang +1

This paper studies motion estimation of moving energy emitters using passive sensors. The emitters may be light, acoustic, or radio sources. While the bearing vector pointing from…

cs.RO2026

Observability-Enhanced Target Motion Estimation via Bearing-Box: Theory and MAV Applications

Yin Zhang, Zian Ning, Shiyu Zhao

Monocular vision-based target motion estimation is a fundamental challenge in numerous applications. This work introduces a novel bearing-box approach that fully leverages modern 3…

cs.CV2025

EvDetMAV: Generalized MAV Detection from Moving Event Cameras

Yin Zhang, Zian Ning, Xiaoyu Zhang +3

Existing micro aerial vehicle (MAV) detection methods mainly rely on the target's appearance features in RGB images, whose diversity makes it difficult to achieve generalized MAV d…

cs.RO2024★ 12 cited

Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network

Yin Zhang, Jinhong Deng, Peidong Liu +2

Visual detection of Micro Air Vehicles (MAVs) has attracted increasing attention in recent years due to its important application in various tasks. The existing methods for MAV det…

cs.RO2024★ 36 cited

A Bearing-Angle Approach for Unknown Target Motion Analysis Based on Visual Measurements

Zian Ning, Yin Zhang, Jianan Li +2

Vision-based estimation of the motion of a moving target is usually formulated as a bearing-only estimation problem where the visual measurement is modeled as a bearing vector. Alt…

cs.CV2023★ 1 cited

Global-Local MAV Detection under Challenging Conditions based on Appearance and Motion

Hanqing Guo, Ye Zheng, Yin Zhang +2

Visual detection of micro aerial vehicles (MAVs) has received increasing research attention in recent years due to its importance in many applications. However, the existing approa…