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In the rapidly evolving domain of transportation systems, the utilization of unmanned aerial vehicles (UAVs) for low-altitude detection, leveraging remotely-sensed images and videos, has become increasingly vital. Addressing the growing demands for robust, real-time object-detection capabilities, this study introduces a lightweight, memory-efficient model specifically engineered for the constrained computational and power resources of UAV-embedded platforms. Incorporating the FasterNet-16 backbone, the model significantly enhances feature-processing efficiency, which is essential for real-time applications across diverse UAV operations. A novel multi-scale feature-fusion technique is employed to improve feature utilization while maintaining a compact architecture through passive integration methods. Extensive performance evaluations across various embedded platforms have demonstrated the model\u2019s superior capabilities and robustness in real-time operations, thereby markedly advancing UAV deployment in crucial remote-sensing tasks and improving productivity and safety across multiple domains.<\/jats:p>","DOI":"10.3390\/rs16193712","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T07:30:18Z","timestamp":1728286218000},"page":"3712","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["A Low-Cost and Lightweight Real-Time Object-Detection Method Based on UAV Remote Sensing in Transportation Systems"],"prefix":"10.3390","volume":"16","author":[{"given":"Ziye","family":"Liu","sequence":"first","affiliation":[{"name":"Xidian Hangzhou Institute of Technology, Hangzhou 311231, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-5029","authenticated-orcid":false,"given":"Chen","family":"Chen","sequence":"additional","affiliation":[{"name":"Xidian Hangzhou Institute of Technology, Hangzhou 311231, China"}]},{"given":"Ziqin","family":"Huang","sequence":"additional","affiliation":[{"name":"Xidian Hangzhou Institute of Technology, Hangzhou 311231, China"}]},{"given":"Yoong Choon","family":"Chang","sequence":"additional","affiliation":[{"name":"Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Kajang 43000, Malaysia"}]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Xidian Guangzhou Institute of Technology, Guangzhou 510555, China"}]},{"given":"Qingqi","family":"Pei","sequence":"additional","affiliation":[{"name":"Xidian Hangzhou Institute of Technology, Hangzhou 311231, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"7695","DOI":"10.1109\/TMC.2023.3337246","article-title":"SFO: An adaptive task scheduling based on incentive fleet formation and metrizable resource orchestration for autonomous vehicle platooning","volume":"23","author":"Xiao","year":"2023","journal-title":"IEEE Trans. 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Unmanned aerial vehicle (UAV) remote sensing in grassland ecosystem monitoring: A systematic review. Remote Sens., 14.","DOI":"10.3390\/rs14051096"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Butil\u0103, E.V., and Boboc, R.G. (2022). Urban traffic monitoring and analysis using unmanned aerial vehicles (UAVs): A systematic literature review. Remote Sens., 14.","DOI":"10.3390\/rs14030620"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Liu, Q., Li, Z., Yuan, S., Zhu, Y., and Li, X. (2021). Review on vehicle detection technology for unmanned ground vehicles. Sensors, 21.","DOI":"10.3390\/s21041354"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Yao, H., Qin, R., and Chen, X. (2019). Unmanned aerial vehicle for remote sensing applications\u2014A review. Remote Sens., 11.","DOI":"10.3390\/rs11121443"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4968","DOI":"10.1109\/JSTARS.2018.2879368","article-title":"Urban traffic density estimation based on ultrahigh-resolution UAV video and deep neural network","volume":"11","author":"Zhu","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Nousi, P., Mademlis, I., Karakostas, I., Tefas, A., and Pitas, I. (2019, January 4\u20139). Embedded UAV real-time visual object detection and tracking. Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR), Irkutsk, Russia.","DOI":"10.1109\/RCAR47638.2019.9043931"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Luo, X., Wu, Y., and Wang, F. (2022). Target detection method of UAV aerial imagery based on improved YOLOv5. Remote Sens., 14.","DOI":"10.3390\/rs14195063"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Niu, K., and Yan, Y. (2023, January 27\u201329). A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Images. Proceedings of the 2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP), Hangzhou, China.","DOI":"10.1109\/AIIIP61647.2023.00016"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhou, H., Ma, A., Niu, Y., and Ma, Z. (2022). Small-object detection for UAV-based images using a distance metric method. Drones, 6.","DOI":"10.3390\/drones6100308"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Tang, G., Ni, J., Zhao, Y., Gu, Y., and Cao, W. (2023). A survey of object detection for UAVs based on deep learning. Remote Sens., 16.","DOI":"10.3390\/rs16010149"},{"key":"ref_14","first-page":"100712","article-title":"A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops","volume":"26","author":"Amarasingam","year":"2022","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"24013","DOI":"10.1109\/JIOT.2024.3388045","article-title":"Lwuavdet: A lightweight uav object detection network on edge devices","volume":"11","author":"Min","year":"2024","journal-title":"IEEE Internet Things J."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, W., Liu, A., Hu, J., Mo, Y., Xiang, S., Duan, P., and Liang, Q. (2024). EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform. Drones, 8.","DOI":"10.3390\/drones8060261"},{"key":"ref_17","unstructured":"Ma, X. (2022, July 14). FastestDet: Ultra Lightweight Anchor-Free Real-Time Object Detection Algorithm. Available online: https:\/\/github.com\/dog-qiuqiu\/FastestDet."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"7963","DOI":"10.1007\/s13369-022-06738-0","article-title":"Recent advances in unmanned aerial vehicles: A review","volume":"47","author":"Ahmed","year":"2022","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Chen, C., Wang, W., Liu, Z., Wang, Z., Li, C., Lu, H., Pei, Q., and Wan, S. (IEEE Trans. Intell. Veh., 2024). RLFN-VRA: Reinforcement Learning-based Flexible Numerology V2V Resource Allocation for 5G NR V2X Networks, IEEE Trans. Intell. Veh., early access.","DOI":"10.1109\/TIV.2024.3427399"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"6047","DOI":"10.1109\/TNNLS.2021.3080276","article-title":"Vehicle detection from UAV imagery with deep learning: A review","volume":"33","author":"Bouguettaya","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Zhang, Z., and Zhu, L. (2023). A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications. Drones, 7.","DOI":"10.3390\/drones7060398"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/s10661-021-08949-8","article-title":"Unmanned Aerial Vehicle (UAV) applications in coastal zone management\u2014A review","volume":"193","author":"Adade","year":"2021","journal-title":"Environ. Monit. Assess."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"107148","DOI":"10.1016\/j.comnet.2020.107148","article-title":"A compilation of UAV applications for precision agriculture","volume":"172","author":"Sarigiannidis","year":"2020","journal-title":"Comput. Netw."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"10117","DOI":"10.1007\/s11227-023-05065-x","article-title":"LODNU: Lightweight object detection network in UAV vision","volume":"79","author":"Chen","year":"2023","journal-title":"J. Supercomput."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Hua, W., Chen, Q., and Chen, W. (2024). A new lightweight network for efficient UAV object detection. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-64232-z"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Yue, M., Zhang, L., Huang, J., and Zhang, H. (2024). Lightweight and Efficient Tiny-Object Detection Based on Improved YOLOv8n for UAV Aerial Images. Drones, 8.","DOI":"10.3390\/drones8070276"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"121366","DOI":"10.1016\/j.ins.2024.121366","article-title":"LUD-YOLO: A novel lightweight object detection network for unmanned aerial vehicle","volume":"686","author":"Fan","year":"2024","journal-title":"Inf. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Yang, Z., Li, Y., Wang, B., Ding, S., and Jiang, P. (2022). A lightweight sea surface object detection network for unmanned surface vehicles. J. Mar. Sci. Eng., 10.","DOI":"10.3390\/jmse10070965"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1109\/LWC.2021.3076415","article-title":"Real-time video streaming and control of cellular-connected UAV system: Prototype and performance evaluation","volume":"10","author":"Zhou","year":"2021","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"124817","DOI":"10.1109\/ACCESS.2021.3110872","article-title":"A systematic review of real-time deployments of UAV-based LoRa communication network","volume":"9","author":"Ghazali","year":"2021","journal-title":"IEEE Access"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Cao, Z., Kooistra, L., Wang, W., Guo, L., and Valente, J. (2023). Real-time object detection based on uav remote sensing: A systematic literature review. Drones, 7.","DOI":"10.3390\/drones7100620"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Zhang, P., Zhong, Y., and Li, X. (2019, January 27\u201328). SlimYOLOv3: Narrower, faster and better for real-time UAV applications. Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops, Seoul, Republic of Korea.","DOI":"10.1109\/ICCVW.2019.00011"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Chollet, F. (2017, January 21\u201326). Xception: Deep learning with depthwise separable convolutions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Chen, J., Kao, S.h., He, H., Zhuo, W., Wen, S., Lee, C.H., and Chan, S.H.G. (2023, January 17\u201324). Run, don\u2019t walk: Chasing higher FLOPS for faster neural networks. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, BC, Canada.","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"4297","DOI":"10.1109\/TNSM.2024.3390117","article-title":"A High Stability Clustering Scheme for the Internet of Vehicles","volume":"21","author":"Chen","year":"2024","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2505713","DOI":"10.1109\/TIM.2023.3241825","article-title":"Real-time object detection network in UAV-vision based on CNN and transformer","volume":"72","author":"Ye","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Cheng, Q., Wang, H., Zhu, B., Shi, Y., and Xie, B. (2023). A real-time uav target detection algorithm based on edge computing. Drones, 7.","DOI":"10.3390\/drones7020095"},{"key":"ref_38","unstructured":"Kaiser, L., Gomez, A.N., and Chollet, F. (2017). Depthwise separable convolutions for neural machine translation. arXiv."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Hossain, S.M.M., Deb, K., Dhar, P.K., and Koshiba, T. (2021). Plant leaf disease recognition using depth-wise separable convolution-based models. Symmetry, 13.","DOI":"10.3390\/sym13030511"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Mittapalli, P.S., Tagore, M., Reddy, P.A., Kande, G.B., and Reddy, Y.M. (2023). Deep learning based real-time object detection on jetson nano embedded gpu. Microelectronics, Circuits and Systems: Select Proceedings of Micro2021, Springer.","DOI":"10.1007\/978-981-99-0412-9_46"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"S\u00fczen, A.A., Duman, B., and \u015een, B. (2020, January 26\u201328). Benchmark analysis of jetson tx2, jetson nano and raspberry pi using deep-cnn. Proceedings of the 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Turkey.","DOI":"10.1109\/HORA49412.2020.9152915"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Kareem, A.A., Hammood, D.A., Alchalaby, A.A., and Khamees, R.A. (2022, January 6\u20137). A performance of low-cost nvidia jetson nano embedded system in the real-time siamese single object tracking: A comparison study. Proceedings of the International Conference on Computing Science, Communication and Security, Gandhingar, India.","DOI":"10.1007\/978-3-031-10551-7_22"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Kim, J., and Kim, S. (2023). Hardware accelerators in embedded systems. Artificial Intelligence and Hardware Accelerators, Springer.","DOI":"10.1007\/978-3-031-22170-5_6"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, Z., Wang, J., Peng, W., and Li, C. (2024, January 23\u201325). Implementation and acceleration of driving behavior detection model based on Rockchip RV1126+ Yolov5s. Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence, Zhuhai, China.","DOI":"10.1145\/3674225.3674387"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Pom\u0161\u00e1r, L., Brecko, A., and Zolotov\u00e1, I. (2022, January 2\u20135). Brief overview of Edge AI accelerators for energy-constrained edge. Proceedings of the 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI), Poprad, Slovakia.","DOI":"10.1109\/SAMI54271.2022.9780669"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Lee, J.K., Jamieson, M., Brown, N., and Jesus, R. (2023, January 23\u201325). Test-driving RISC-V Vector hardware for HPC. Proceedings of the International Conference on High Performance Computing, Hamburg, Germany.","DOI":"10.1007\/978-3-031-40843-4_31"},{"key":"ref_47","unstructured":"Shi, H. (2022, January 15\u201317). Research on the Application of the Internet of Things Based on A-IoT. Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022), Chongqing, China."},{"key":"ref_48","unstructured":"Brown, N., Jamieson, M., and Lee, J.K. (2023). Experiences of running an HPC RISC-V testbed. arXiv."},{"key":"ref_49","unstructured":"Du, D., Zhu, P., Wen, L., Bian, X., Lin, H., Hu, Q., Peng, T., Zheng, J., Wang, X., and Zhang, Y. (2019, January 27\u201328). VisDrone-DET2019: The vision meets drone object detection in image challenge results. Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops, Seoul, Republic of Korea."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., and Zitnick, C.L. (2014, January 6\u201312). Microsoft coco: Common objects in context. Proceedings of the Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"7812276","DOI":"10.1155\/2023\/7812276","article-title":"Traffic Condition Classification Model Based on Traffic-Net","volume":"2023","author":"Cao","year":"2023","journal-title":"Comput. Intell. Neurosci."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Krichen, M., Adoni, W.Y.H., Mihoub, A., Alzahrani, M.Y., and Nahhal, T. (2022, January 9\u201311). Security challenges for drone communications: Possible threats, attacks and countermeasures. Proceedings of the 2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH), Riyadh, Saudi Arabia.","DOI":"10.1109\/SMARTTECH54121.2022.00048"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Ko, Y., Kim, J., Duguma, D.G., Astillo, P.V., You, I., and Pau, G. (2021). Drone secure communication protocol for future sensitive applications in military zone. Sensors, 21.","DOI":"10.3390\/s21062057"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/19\/3712\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:11:15Z","timestamp":1760112675000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/19\/3712"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,5]]},"references-count":53,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["rs16193712"],"URL":"https:\/\/doi.org\/10.3390\/rs16193712","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,5]]}}}