Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (7): 2394-2403.doi: 10.12305/j.issn.1001-506X.2026.07.23
• Systems Engineering • Previous Articles
Xueli FANG1, Xiaoqian ZHOU2, Cheng HE1(
), Yuanjie LU3
Received:2026-05-22
Revised:2026-05-27
Online:2026-06-18
Published:2026-06-18
Contact:
Cheng HE
E-mail:Hechengtj@163.com
CLC Number:
Xueli FANG, Xiaoqian ZHOU, Cheng HE, Yuanjie LU. Research on open architecture of new-generation unmanned aerial vehicles for the digital-intelligent era[J]. Systems Engineering and Electronics, 2026, 48(7): 2394-2403.
| 1 |
POMAR M, PARDO D, CARMONA P, et al. DeOTA-IoT: a techniques catalog for designing over-the-air(OTA) update systems for IoT[J]. Sensors, 2025, 26 (1): 193.
doi: 10.3390/s26010193 |
| 2 |
ALIANE N. A survey of open-source UAV autopilots[J]. Electronics, 2024, 13 (23): 4785.
doi: 10.3390/electronics13234785 |
| 3 |
ZIMMERMAN P, OFORI M, BARRETT D, et al. Considerations and examples of a modular open systems approach in defense systems[J]. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2019, 16 (4): 373- 388.
doi: 10.1177/1548512917751281 |
| 4 | TOKAR J L. A comparison of avionics open system architectures[C]//Proc. of the ACM SIGADA Annual Conference on High Integrity Language Technology, 2016: 21−30. |
| 5 |
DAVENDRALINGAM N, GUARINIELLO C, TAMASKAR S, et al. Modularity research to guide MOSA implementation[J]. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2019, 16 (4): 389- 401.
doi: 10.1177/1548512917749358 |
| 6 | RODRIGUEZ G, PROENZA J, BARRANCO M, et al. On the Integration of DDS and AFDX standards[C]//Proc. of the IEEE Emerging Technology and Factory Automation, 2014. |
| 7 | AZANI C, KHORRAMSHAHGOL R. Modular open systems approach: an effective business strategy for building affordable and adaptable architectures[J]. Journal of Management Systems, 2006, 18 (1): 66- 76. |
| 8 | GKIOULOS V, WOLTHUSEN S D. Security infrastructure for service oriented architectures at the tacticaledge[C]//Proc. of the International Conference on Critical Information Infrastructures Security, 2017: 117−131. |
| 9 | BARRAZA A. Enhancing the utility of unmanned autonomous vehicles (UAVs) with model-based systems-engineering (MBSE) and modular open systems approach (MOSA)[D]. El Paso: University of Texas at El Paso, 2024. |
| 10 | STIRGWOLT B, ZHAO A, THOMPSON L. Using digital engineering to develop a modular drone and the needed skill sets for the next generation of engineers[C]//Proc. of the AIAA Aviation Forum and Ascend 2025: AIAA 2025-3317. |
| 11 | JANOWICZ K, HALLER A, COX S, et al. SOSA: a lightweight ontology for sensors, observations, samples, and actuators[J]. Journal of Web Semantics, 2019 (56): 1- 10. |
| 12 |
AKTAS O, MILLI M, LAKESTANI S. Modelling sensor ontology with the SOSA/SSN frameworks: a case study for laboratory parameters[J]. Turkish Journal of Electrical Engineering and Computer Sciences, 2020, 28 (5): 2566- 2585.
doi: 10.3906/elk-1912-160 |
| 13 | MANZ B. Unlocking interoperability: the promise of the SOSA standard[J]. Journal of Electromagnetic Dominance, 2025, 48 (8): 29. |
| 14 | LUKIC B, FRIENDRICH S, DURAK U. A streamlined approach toward automated generation and validation of ARINC653-compliant avionics configurations[J]. Journal of Aircraft, 2024, 61 (6): 1927- 1940. |
| 15 |
KIM S, CHOI H, LEE S, et al. A dynamic bridge architecture for efficient interoperability between AUTOSAR adaptive and ROS2[J]. Electronics, 2025, 14 (18): 3635.
doi: 10.3390/electronics14183635 |
| 16 |
KIM H, KWAK J, CHO J. AUTOSAR-compatible level-4 virtual ECU for the verification of the target binary for cloud-native development[J]. Electronics, 2024, 13 (18): 3704.
doi: 10.3390/electronics13183704 |
| 17 |
PAN F, RICKERT M, BETZ T, et al. Toward software-defined vehicles: from model-based engineering to virtualization-based deployment[J]. IEEE Access, 2024, 12, 192127- 192145.
doi: 10.1109/access.2024.3512002 |
| 18 |
MERAKANAPALLI S, BODAPATI S J. Transitioning from AUTOSAR classic to adaptive for service-based architectures[J]. International Journal of Engineering Research and Technology, 2025, 6 (4): 7- 17.
doi: 10.63282/3050-922x.ijeret-v6i4p102 |
| 19 | BELLASSAI G, CASINI D, NATALE M D, et al. Modeling the SLLET paradigm in AUTOSAR adaptive[C]//Proc. of the Design, Automation and Test in Europe Conference, 2025. |
| 20 |
MANIKANDAN S, PADMA I, ELKE P. Software architecture modeling of AUTOSAR-based multi-core mixed-critical electric powertrain controller[J]. Modelling, 2021, 2 (4): 706- 727.
doi: 10.3390/modelling2040038 |
| 21 |
CHEN J C, ZHAI Z J, HAN P J, et al. Model-based partition scheduling of integrated modular avionics systems using genetic algorithm[J]. Scientific Reports, 2025, 15 (1): 31342.
doi: 10.1038/s41598-025-16745-4 |
| 22 |
RUSSO A, RAPONI E, SANTIS D. Model-based systems engineering and safety assessment: a workflow for mechatronic systems design[J]. Systems Engineering, 2024, 27 (6): 756- 782.
doi: 10.1002/sys.21791 |
| 23 |
WANG H L, CHEN Z W, FANG X T. Multi-layer resource configuration and safety optimization for integrated modular avionics with resource sharing and isolation[J]. PLoS ONE, 2026, 21 (3): e0345130.
doi: 10.1371/journal.pone.0345130 |
| 24 | 赵长啸, 孙亦轩. 面向适航要求的eVTOL航电系统安全调度模型[J]. 航空学报, 2025, 46(11): 456−473. |
| ZHAO C X, SUN Y X. A safe scheduling model for eVTOL avionics systems for airworthiness requirements[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(11): 456−473. | |
| 25 |
FUMMI F, PRAVADELLI G, STEFANI A, et al. A design flow based on docker and kubernetes for ROS-based robotic software applications[J]. ACM Transactions on Embedded Computing Systems, 2024, 23 (5): 74.
doi: 10.1145/3594539 |
| 26 |
ZHANG W Z, TENG Y X, GAO Y, et al. Reducing end-to-end latency of trigger-action IoT programs on containerized edge platforms[J]. IEEE Trans. on Mobile Computing, 2024, 23 (12): 13979- 13990.
doi: 10.1109/TMC.2024.3439533 |
| 27 |
LI Z, SALDIAS N, SECO D, et al. Long live the image: on enabling resilient production database containers for microservice applications[J]. IEEE Trans. on Software Engineering, 2024, 50 (9): 2363- 2378.
doi: 10.1109/TSE.2024.3436623 |
| 28 | LI B F, FENG B B, SONG W M, et al. Application of DDS middleware in joint simulation[C]//Proc. of the International Conference on Modeling, Simulation and Optimization, 2024: 95−102. |
| 29 |
XU B T, GAO F, WANG Y C, et al. Omni drones: an efficient and flexible platform for reinforcement learning in drone control[J]. IEEE Robotics and Automation Letters, 2024, 9 (3): 2838- 2844.
doi: 10.1109/LRA.2024.3356168 |
| 30 |
MARTINEZ S, SANCHEZ F, RUIZ M, et al. AUSPEX: an integrated open-source decision-making framework for UAVs in rescue missions[J]. Frontiers in Robotics and AI, 2025, 12, 1583479.
doi: 10.3389/frobt.2025.1583479 |
| 31 |
MUGABE J, WISNIEWSKI M, PERRUSQUIA A, et al. Enhancing situational awareness of helicopter pilots in unmanned aerial vehicle-congested environments using an airborne visual artificial intelligence approach[J]. Sensors, 2024, 24 (23): 7762.
doi: 10.3390/s24237762 |
| 32 |
FU J H, FENG Y. Intent-context synergy reinforcement learning for autonomous UAV decision-making in air combat[J]. Aerospace Science and Technology, 2026, 176, 112580.
doi: 10.1016/j.ast.2026.112580 |
| 33 |
MOKHTAR B. AI-enabled collaborative distributed computing in networked UAVs[J]. IEEE Access, 2024, 12, 96517- 96530.
doi: 10.1109/access.2024.3425523 |
| 34 |
YUAN Y Z, GAO S C, ZHANG Z T, et al. Edge-cloud collaborative UAV object detection: edge-embedded lightweight algorithm design and task offloading using fuzzy neural network[J]. IEEE Trans. on Cloud Computing, 2024, 12 (1): 306- 318.
doi: 10.1109/TCC.2024.3361858 |
| 35 | ZHU F F, HUANG F, YU Y T, et al. Task offloading with LLM-enhanced multi-agent reinforcement learning in UAV-assisted edge computing[J]. Sensors, 2025, 25 (1): 175. |
| 36 |
YANG T C, GUO H J, ZHAO Z, et al. Orion: a collaborative edge inference framework for large language models processing multi-sensor data in UAV swarms[J]. Drones, 2026, 10 (6): 410.
doi: 10.3390/drones10060410 |
| 37 | TRIGUNE H M, GORIVALE A D, GAWANDE P. A review of edge AI for autonomous target detection in UAVs using NVIDIA jetson orin[J]. International Journal of Innovative Research in Computer and Communication Engineering, 2025, 13 (11): 16742- 16749. |
| [1] | Xuan LIU, Xiaoxia WANG, Fengbao YANG, Bo LI, Yingkai TAO. Bayesian network-based method for space group target intent recognition [J]. Systems Engineering and Electronics, 2026, 48(5): 1635-1646. |
| [2] | Fangyu HONG, Qing YE, Lining ZHANG, Guohua WU. Vehicle-based multi-UAV cooperative task planning method for area search [J]. Systems Engineering and Electronics, 2026, 48(1): 144-156. |
| [3] | Hongmin LI, Shuanglong RONG, Shengpeng ZHANG, Shuo HUANG, Pengfei ZHAO, Yubin TANG. Simulation method of storage life for missile products based on fusion modeling of performance and degradation laws [J]. Systems Engineering and Electronics, 2026, 48(7): 2264-2276. |
| [4] | Jiahui FANG, Kebo LI, Yangang LIANG. Reachability analysis of space proximity behavior patterns based on optimal impulse [J]. Systems Engineering and Electronics, 2026, 48(2): 652-659. |
| [5] | Jianbo YUAN, Yonghao DU, Yingguo CHEN, Yongming HE. Research on imaging satellite mission planning model and algorithm for point-cluster and large-region targets [J]. Systems Engineering and Electronics, 2025, 47(9): 2939-2950. |
| [6] | Yi JIANG, Yuhe MAO, Chengfei YUE, Yunhua WU. Mega-constellation situational awareness mission planning with multi-constraints [J]. Systems Engineering and Electronics, 2025, 47(9): 3047-3057. |
| [7] | Xuesong WANG, Jiapeng YIN, Jiankai HUANG, Jianbing LI, Yongzhen LI. Air floating ball trajectory prediction and payload judgment with radar wind field inversion [J]. Systems Engineering and Electronics, 2025, 47(9): 2839-2852. |
| [8] | LI Zhiliang, LI Xiaojiang, ZHANG Donglai. Proactive scheduling of agile imaging satellite based on improved differential evolution algorithm [J]. Systems Engineering and Electronics, 2018, 40(2): 353-359. |
| [9] | GUO Xiaoting, SUN Changku, WANG Peng. Vision and inertial fusion attitude measurement based on diagonalization of matrix robust QCKF [J]. Systems Engineering and Electronics, 2018, 40(2): 402-408. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||