MCS-Sim: A Photo-Realistic Simulator for Multi-Camera UAV Visual Perception Research
Guardado en:
| Publicado en: | Drones vol. 9, no. 9 (2025), p. 656-681 |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
MDPI AG
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3254504457 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2504-446X | ||
| 024 | 7 | |a 10.3390/drones9090656 |2 doi | |
| 035 | |a 3254504457 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Qi Qiming | |
| 245 | 1 | |a MCS-Sim: A Photo-Realistic Simulator for Multi-Camera UAV Visual Perception Research | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Multi-camera systems (MCSs) are pivotal in aviation surveillance and autonomous navigation due to their wide coverage and high-resolution sensing. However, challenges such as complex setup, time-consuming data acquisition, and costly testing hinder research progress. To address these, we introduce MCS-Sim, a photo-realistic MCS simulator for UAV visual perception research. MCS-Sim integrates vision sensor configurations, vehicle dynamics, and dynamic scenes, enabling rapid virtual prototyping and multi-task dataset generation. It supports dense flow estimation, 3D reconstruction, visual simultaneous localization and mapping, object detection, and tracking. With a hardware-in-loop interface, MCS-Sim facilitates closed-loop simulation for system validation. Experiments demonstrate its effectiveness in synthetic dataset generation, visual perception algorithm testing, and closed-loop simulation. Here we show that MCS-Sim significantly advances multi-camera UAV visual perception research, offering a versatile platform for future innovations. | |
| 653 | |a Simultaneous localization and mapping | ||
| 653 | |a Accuracy | ||
| 653 | |a Datasets | ||
| 653 | |a Virtual prototyping | ||
| 653 | |a Data acquisition | ||
| 653 | |a Visual perception | ||
| 653 | |a Hardware-in-the-loop simulation | ||
| 653 | |a Cameras | ||
| 653 | |a Closed loops | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Three dimensional flow | ||
| 653 | |a Engines | ||
| 653 | |a Localization | ||
| 653 | |a Virtual reality | ||
| 653 | |a Visual perception driven algorithms | ||
| 653 | |a Simulation | ||
| 653 | |a Physics | ||
| 653 | |a Image reconstruction | ||
| 653 | |a Computer vision | ||
| 653 | |a Sensors | ||
| 653 | |a Autonomous navigation | ||
| 653 | |a Algorithms | ||
| 653 | |a Semantics | ||
| 653 | |a Synthetic data | ||
| 700 | 1 | |a Wang Guoyan | |
| 700 | 1 | |a Pan Yonglei | |
| 700 | 1 | |a Fan Hongqi | |
| 700 | 1 | |a Li, Biao | |
| 773 | 0 | |t Drones |g vol. 9, no. 9 (2025), p. 656-681 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3254504457/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3254504457/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3254504457/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |