Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization

Autor: Fangqiang Ding, Changhong Fu, Fuling Lin, Geng Lu, Junjie Ye, Shan An

Publikováno v: IEEE Transactions on Industrial Electronics. 69:6004-6014

As a sort of model-free tracking approach, discriminative correlation filter (DCF)-based trackers have shown prominent performance in unmanned aerial vehicle (UAV) tracking. Nevertheless, typical DCFs acquire all samples oriented to filter training m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecc3aed58b44c01a40aeaa9c3cd23569
https://doi.org/10.1109/tie.2021.3088366

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

Autor: Fangqiang Ding, Andras Palffy, Dariu Gavrila, Chris Xiaoxuan Lu

Publikováno v: Fangqiang Ding

This work proposes a novel approach to 4D radar-based scene flow estimation via cross-modal learning. Our approach is motivated by the co-located sensing redundancy in modern autonomous vehicles. Such redundancy implicitly provides various forms of s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b35b35ac50d663fa5dcf7526bc2008c
http://arxiv.org/abs/2303.00462

Self-Supervised Scene Flow Estimation with 4-D Automotive Radar

Autor: Fangqiang Ding, Zhijun Pan, Yimin Deng, Jianning Deng, Chris Xiaoxuan Lu

Publikováno v: Ding, F, Pan, Z, Deng, Y, Deng, J & Lu, C X 2022, ' Self-Supervised Scene Flow Estimation with 4-D Automotive Radar ', IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8233-8240 . https://doi.org/10.1109/LRA.2022.3187248

Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy. While estimating the scene flow from LiDAR has progressed recently, it remains largely unknown h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2077b8b40a9e655068d923d49715d7ad
http://arxiv.org/abs/2203.01137

ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking

Autor: Fuling Lin, Changhong Fu, Junjie Ye, Bowen Li, Fangqiang Ding

Publikováno v: ICRA

Prior correlation filter (CF)-based tracking methods for unmanned aerial vehicles (UAVs) have virtually focused on tracking in the daytime. However, when the night falls, the trackers will encounter more harsh scenes, which can easily lead to trackin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e413c6c66a7738713d0a0573ee6484b
https://doi.org/10.1109/icra48506.2021.9561564

DR2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression

Autor: Changhong Fu, Jin Jin, Yiming Li, Fangqiang Ding, Chen Feng

Publikováno v: IROS

Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the background with a learned regressor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f54acf6e2455f16bb614ca336f1452a7
https://doi.org/10.1109/iros45743.2020.9341761