{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T08:09:59Z","timestamp":1778486999056,"version":"3.51.4"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:00:00Z","timestamp":1771372800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:00:00Z","timestamp":1771372800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2023YFB2603500"],"award-info":[{"award-number":["2023YFB2603500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s11554-026-01857-5","type":"journal-article","created":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T19:49:55Z","timestamp":1771444195000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RMTD-YOLO: a lightweight high-precision real-time detection method for road milestones"],"prefix":"10.1007","volume":"23","author":[{"given":"Siqiaoqiao","family":"Wen","sequence":"first","affiliation":[]},{"given":"Jing","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Jiawei","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Yuanbo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Ruimin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiahui","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Songtao","family":"Lv","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,18]]},"reference":[{"key":"1857_CR1","doi-asserted-by":"publisher","first-page":"22179","DOI":"10.1109\/TITS.2022.3177210","volume":"23","author":"H Yao","year":"2022","unstructured":"Yao, H., Liu, Y., Li, X., You, Z., Feng, Y., Lu, W.: A detection method for pavement cracks combining object detection and attention mechanism. IEEE Trans. Intell. Transp. Syst. 23, 22179\u201322189 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"1857_CR2","doi-asserted-by":"crossref","unstructured":"Neumann, L., Matas, J.: A method for text localization and recognition in real-world images. In: Asian conference on computer vision. pp. 770\u2013783. Springer (2010)","DOI":"10.1007\/978-3-642-19318-7_60"},{"key":"1857_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.iintel.2025.100144","volume":"4","author":"Y Wu","year":"2025","unstructured":"Wu, Y., Li, S., Li, J., Yu, Y., Li, J., Li, Y.: Deep learning in crack detection: a comprehensive scientometric review. J. Infrastruct. Intell. Resist. 4, 100144 (2025). https:\/\/doi.org\/10.1016\/j.iintel.2025.100144","journal-title":"J. Infrastruct. Intell. Resist."},{"key":"1857_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2024.105643","volume":"166","author":"Z Dong","year":"2024","unstructured":"Dong, Z., Zhang, A.A., Ding, Y., Xu, X., Zhang, H., He, A.: Intelligent detection and mileage positioning of multiple distresses using two-step deep learning. Autom. Constr. 166, 105643 (2024)","journal-title":"Autom. Constr."},{"key":"1857_CR5","doi-asserted-by":"crossref","unstructured":"Tao, X., Fu, Z.: Transformation model of center line mileage and GPS location on highway. In: 2011 International Conference on Remote Sensing, Environment and Transportation Engineering. pp. 4694\u20134696. IEEE (2011)","DOI":"10.1109\/RSETE.2011.5965362"},{"key":"1857_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.103056","volume":"111","author":"W Luo","year":"2020","unstructured":"Luo, W., Liu, L., Li, L.: Measuring rutting dimension and lateral position using 3d line scanning laser and inertial measuring unit. Autom. Constr. 111, 103056 (2020)","journal-title":"Autom. Constr."},{"key":"1857_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2024.100446","volume":"25","author":"L Li","year":"2024","unstructured":"Li, L., Wang, W., Khatoon, A., Wang, M.: Road detection by using gradient magnitude image and adaptive thresholding based watershed. Egypt. Inform. J. 25, 100446 (2024)","journal-title":"Egypt. Inform. J."},{"key":"1857_CR8","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3141\/2367-04","volume":"2367","author":"A Zhang","year":"2013","unstructured":"Zhang, A., Li, Q., Wang, K.C., Qiu, S.: Matched filtering algorithm for pavement cracking detection. Transp. Res. Rec. 2367, 30\u201342 (2013)","journal-title":"Transp. Res. Rec."},{"key":"1857_CR9","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1016\/j.jksues.2022.04.003","volume":"36","author":"RS Buk\u2019hail","year":"2024","unstructured":"Buk\u2019hail, R.S., Al-Sabah, R.S.: Exploring the barriers to implementing the integrated project delivery method. J. King Saud Univ. - Eng. Sci. 36, 543\u2013551 (2024)","journal-title":"J. King Saud Univ. - Eng. Sci."},{"key":"1857_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtte.2024.11.004","author":"SE Tabrizi","year":"2025","unstructured":"Tabrizi, S.E., Elizarov, J., Farghaly, H., Gharabaghi, B.: Precision salt application using advanced machine learning algorithms to achieve improved road safety and reduced environmental impacts. J. Traffic Trans. Eng. (English Edition) (2025). https:\/\/doi.org\/10.1016\/j.jtte.2024.11.004","journal-title":"J. Traffic Trans. Eng. (English Edition)"},{"key":"1857_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2023.101437","volume":"20","author":"F Utaminingrum","year":"2023","unstructured":"Utaminingrum, F., Alqadri, A.M., Somawirata, I.K., Karim, C., Septiarini, A., Lin, C.-Y., Shih, T.K.: Feature selection of gray-level cooccurrence matrix using genetic algorithm with extreme learning machine classification for early detection of pole roads. Results Eng. 20, 101437 (2023)","journal-title":"Results Eng."},{"key":"1857_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrmge.2024.12.034","author":"X Ou","year":"2025","unstructured":"Ou, X., Zhou, Y., Kong, Y., Qu, T., Xu, S., Liao, W., Tang, C., Zhang, X.: Predicting floor heave risk in road tunnels with machine learning. J. Rock Mech. Geotech. Eng. (2025). https:\/\/doi.org\/10.1016\/j.jrmge.2024.12.034","journal-title":"J. Rock Mech. Geotech. Eng."},{"key":"1857_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2025.106235","volume":"176","author":"Y Li","year":"2025","unstructured":"Li, Y., Li, L., Jiang, S., Liu, C., Weng, Z., Du, Y.: Unsupervised pavement rutting detection using structured light and area-based deep learning. Autom. Constr. 176, 106235 (2025)","journal-title":"Autom. Constr."},{"key":"1857_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2024.105772","volume":"168","author":"L Zheng","year":"2024","unstructured":"Zheng, L., Xiao, J., Wang, Y., Wu, W., Chen, Z., Yuan, D., Jiang, W.: Deep learning-based intelligent detection of pavement distress. Autom. Constr. 168, 105772 (2024)","journal-title":"Autom. Constr."},{"key":"1857_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2024.136733","volume":"436","author":"C Xing","year":"2024","unstructured":"Xing, C., Zheng, G., Zhang, Y., Deng, H., Li, M., Zhang, L., Tan, Y.: A lightweight detection method of pavement potholes based on binocular stereo vision and deep learning. Constr. Build. Mater. 436, 136733 (2024)","journal-title":"Constr. Build. Mater."},{"key":"1857_CR16","doi-asserted-by":"publisher","first-page":"7558","DOI":"10.1038\/s41598-025-88184-0","volume":"15","author":"H Zhang","year":"2025","unstructured":"Zhang, H., Liang, M., Wang, Y.: YOLO-BS: a traffic sign detection algorithm based on YOLOv8. Sci. Rep. 15, 7558 (2025)","journal-title":"Sci. Rep."},{"key":"1857_CR17","doi-asserted-by":"publisher","first-page":"16632","DOI":"10.1109\/TITS.2022.3170354","volume":"23","author":"J Yu","year":"2022","unstructured":"Yu, J., Ye, X., Tu, Q.: Traffic sign detection and recognition in multiimages using a fusion model with YOLO and VGG network. IEEE Trans. Intell. Transp. Syst. 23, 16632\u201316642 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"1857_CR18","doi-asserted-by":"publisher","first-page":"7982","DOI":"10.1007\/s11227-021-04230-4","volume":"78","author":"X Li","year":"2022","unstructured":"Li, X., Xie, Z., Deng, X., Wu, Y., Pi, Y.: Traffic sign detection based on improved faster R-CNN for autonomous driving. J. Supercomput. 78, 7982\u20138002 (2022)","journal-title":"J. Supercomput."},{"key":"1857_CR19","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1061\/JHTRCQ.0000528","volume":"10","author":"R Ma","year":"2016","unstructured":"Ma, R., Ma, Z., Wang, Y.: Study on positioning technology of mileage piles based on multi-sensor information fusion. J. Highway Trans. Res. Dev. (English Edition) 10, 7\u201312 (2016)","journal-title":"J. Highway Trans. Res. Dev. (English Edition)"},{"key":"1857_CR20","doi-asserted-by":"publisher","first-page":"104705","DOI":"10.1016\/j.autcon.2022.104705","volume":"146","author":"W Luo","year":"2023","unstructured":"Luo, W., Qin, Y., Li, Q., Zhang, D., Li, L.: Automatic mileage positioning for road inspection using binocular stereo vision system and global navigation satellite system. Autom. Constr. 146, 104705 (2023)","journal-title":"Autom. Constr."},{"key":"1857_CR21","unstructured":"Liu, H., Ma, R.: Research on automatic mileage pile positioning technology based on multi-sensor fusion. Available at SSRN 4598722."},{"key":"1857_CR22","doi-asserted-by":"publisher","first-page":"126011","DOI":"10.1088\/1361-6501\/ad7484","volume":"35","author":"H Liu","year":"2024","unstructured":"Liu, H., Ma, R.: An efficient and automatic method based on monocular camera and GNSS for collecting and updating geographical coordinates of mileage pile in highway digital twin map. Meas. Sci. Technol. 35, 126011 (2024)","journal-title":"Meas. Sci. Technol."},{"key":"1857_CR23","doi-asserted-by":"publisher","first-page":"26023","DOI":"10.1007\/s11042-020-09242-5","volume":"79","author":"A Gomaa","year":"2020","unstructured":"Gomaa, A., Abdelwahab, M.M., Abo-Zahhad, M.: Efficient vehicle detection and tracking strategy in aerial videos by employing morphological operations and feature points motion analysis. Multimedia Tools Appl. 79, 26023\u201326043 (2020)","journal-title":"Multimedia Tools Appl."},{"key":"1857_CR24","doi-asserted-by":"crossref","unstructured":"Salem, M., Gomaa, A., Tsurusaki, N.: Detection of earthquake-induced building damages using remote sensing data and deep learning: A case study of mashiki town, japan. In: IGARSS 2023\u20132023 IEEE International Geoscience and Remote Sensing Symposium. pp. 2350\u20132353. IEEE (2023)","DOI":"10.1109\/IGARSS52108.2023.10282550"},{"key":"1857_CR25","doi-asserted-by":"crossref","unstructured":"Gomaa, A., Saad, O.M.: SCAR-Net: A Selective Channel Attention with Residuals Network for High-Resolution Remote Sensing Scene Classification. In: 2025 7th Novel Intelligent and Leading Emerging Sciences Conference (NILES). pp. 522\u2013525. IEEE (2025)","DOI":"10.1109\/NILES68063.2025.11232133"},{"key":"1857_CR26","doi-asserted-by":"crossref","unstructured":"Gomaa, A.: Advanced domain adaptation technique for object detection leveraging semi-automated dataset construction and enhanced yolov8. In: 2024 6th novel intelligent and leading emerging sciences conference (NILES). pp. 211\u2013214. IEEE (2024)","DOI":"10.1109\/NILES63360.2024.10753164"},{"key":"1857_CR27","first-page":"1","volume":"22","author":"L Zhang","year":"2025","unstructured":"Zhang, L., Wang, M., Zhao, X., Wang, X.: LR-DETR: a lightweight real-time traffic sign detection model based on improved RT-DETR. J. Real-Time Image Process. 22, 1\u201316 (2025)","journal-title":"J. Real-Time Image Process."},{"key":"1857_CR28","doi-asserted-by":"crossref","unstructured":"Qian, S., Lin, Z.: Research on Traffic Marker Detection in Complex Road Scenarios. In: 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). pp. 1\u20135. IEEE (2025)","DOI":"10.1109\/ICAISISAS64483.2025.11051650"},{"key":"1857_CR29","doi-asserted-by":"publisher","DOI":"10.3390\/s23115307","volume":"23","author":"H Lai","year":"2023","unstructured":"Lai, H., Chen, L., Liu, W., Yan, Z., Ye, S.: STC-YOLO: small object detection network for traffic signs in complex environments. Sensors 23, 5307 (2023)","journal-title":"Sensors"},{"key":"1857_CR30","doi-asserted-by":"crossref","unstructured":"Wu, J., Luo, C., Qiu, Z., Chen, L., Ni, R., Li, Y., Huang, F., Wu, J.: DFINet: Dynamic feedback iterative network for infrared small target detection. Pattern Recognition. 111958 (2025)","DOI":"10.1016\/j.patcog.2025.111958"},{"key":"1857_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2025.121447","volume":"332","author":"R Zhang","year":"2025","unstructured":"Zhang, R., Ji, X., Loughney, S., Wang, J., Yang, Z.: Visual perception for long-distance and small target detection in autonomous maritime navigation. Ocean Eng. 332, 121447 (2025)","journal-title":"Ocean Eng."},{"key":"1857_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112593","volume":"305","author":"A Das","year":"2024","unstructured":"Das, A., Palaiahnakote, S., Banerjee, A., Antonacopoulos, A., Pal, U.: Soft set-based MSER end-to-end system for occluded scene text detection, recognition and prediction. Knowl.-Based Syst. 305, 112593 (2024)","journal-title":"Knowl.-Based Syst."},{"key":"1857_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2024.101330","volume":"27","author":"C-C Hsieh","year":"2024","unstructured":"Hsieh, C.-C., Hsu, C.-H., Huang, W.-H.: A two-stage road sign detection and text recognition system based on YOLOv7. Internet Things 27, 101330 (2024)","journal-title":"Internet Things"},{"key":"1857_CR34","doi-asserted-by":"crossref","unstructured":"Gomaa, A., Abdelwahab, M.M., Abo-Zahhad, M.: Real-time algorithm for simultaneous vehicle detection and tracking in aerial view videos. In: 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). pp. 222\u2013225. IEEE (2018)","DOI":"10.1109\/MWSCAS.2018.8624022"},{"key":"1857_CR35","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-02111-x","volume":"15","author":"OF Hassan","year":"2025","unstructured":"Hassan, O.F., Ibrahim, A.F., Gomaa, A., Makhlouf, M., Hafiz, B.: Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach. Sci. Rep. 15, 17493 (2025)","journal-title":"Sci. Rep."},{"key":"1857_CR36","doi-asserted-by":"publisher","first-page":"1029","DOI":"10.1007\/s11760-025-04628-0","volume":"19","author":"S Tu","year":"2025","unstructured":"Tu, S., Kong, M., Zhang, C.: TSS-YOLO: A timely swift small traffic sign detection model: S. Tu et al. Signal Image Video Process. 19, 1029 (2025)","journal-title":"Signal Image Video Process."},{"key":"1857_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-025-01739-2","volume":"22","author":"Y Dang","year":"2025","unstructured":"Dang, Y., Wang, H., Fan, Y.: WAC-YOLO: a real-time traffic sign detection model for complex weather with feature degradation suppression and occlusion awareness. J. Real-Time Image Process. 22, 155 (2025)","journal-title":"J. Real-Time Image Process."},{"key":"1857_CR38","doi-asserted-by":"publisher","DOI":"10.3390\/wevj15060255","volume":"15","author":"A Gomaa","year":"2024","unstructured":"Gomaa, A., Abdalrazik, A.: Novel deep learning domain adaptation approach for object detection using semi-self building dataset and modified yolov4. World Electr. Veh. J. 15, 255 (2024)","journal-title":"World Electr. Veh. J."},{"key":"1857_CR39","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1017\/S175907872400045X","volume":"16","author":"A Abdalrazik","year":"2024","unstructured":"Abdalrazik, A., Gomaa, A., Afifi, A.: Multiband circularly-polarized stacked elliptical patch antenna with eye-shaped slot for GNSS applications. Int. J. Microw. Wirel. Technol. 16, 1229\u20131235 (2024)","journal-title":"Int. J. Microw. Wirel. Technol."},{"key":"1857_CR40","doi-asserted-by":"publisher","first-page":"7853","DOI":"10.1007\/s00521-022-08077-5","volume":"35","author":"J Wang","year":"2023","unstructured":"Wang, J., Chen, Y., Dong, Z., Gao, M.: Improved YOLOv5 network for real-time multi-scale traffic sign detection. Neural Comput. Appl. 35, 7853\u20137865 (2023)","journal-title":"Neural Comput. Appl."},{"key":"1857_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2025.102064","author":"P Tang","year":"2025","unstructured":"Tang, P., Zhang, Y.: LiteFlex-YOLO: A lightweight small target detection network for maritime unmanned aerial vehicles. Pervasive Mob. Comput. (2025). https:\/\/doi.org\/10.1016\/j.pmcj.2025.102064","journal-title":"Pervasive Mob. Comput."},{"key":"1857_CR42","doi-asserted-by":"publisher","first-page":"3779","DOI":"10.1007\/s11276-022-03093-8","volume":"28","author":"A Abdalrazik","year":"2022","unstructured":"Abdalrazik, A., Gomaa, A., Kishk, A.A.: A wide axial-ratio beamwidth circularly-polarized oval patch antenna with sunlight-shaped slots for gnss and wimax applications. Wirel. Networks 28, 3779\u20133786 (2022)","journal-title":"Wirel. Networks"},{"key":"1857_CR43","doi-asserted-by":"crossref","unstructured":"Gomaa, A., Afifi, A., Abdalrazik, A.: A dual-band wide axial-ratio beamwidth circularly-polarized antenna with v-shaped slot for l2\/l5 gnss applications. In: 2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES). pp. 119\u2013122. IEEE (2024)","DOI":"10.1109\/NILES63360.2024.10753263"},{"key":"1857_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2025.141907","volume":"485","author":"Y Li","year":"2025","unstructured":"Li, Y., Zhang, W., Lv, S., Yu, J., Ge, D., Guo, J., Li, L.: YOLOv11-CAFM model in ground penetrating radar image for pavement distress detection and optimization study. Constr. Build. Mater. 485, 141907 (2025). https:\/\/doi.org\/10.1016\/j.conbuildmat.2025.141907","journal-title":"Constr. Build. Mater."},{"key":"1857_CR45","doi-asserted-by":"publisher","DOI":"10.3390\/app122312476","volume":"12","author":"K Yi","year":"2022","unstructured":"Yi, K., Luo, K., Chen, T., Hu, R.: An improved YOLOX model and domain transfer strategy for nighttime pedestrian and vehicle detection. Appl. Sci. 12, 12476 (2022).  https:\/\/doi.org\/10.3390\/app122312476","journal-title":"Appl. Sci."},{"key":"1857_CR46","first-page":"1","volume":"22","author":"K Dong","year":"2025","unstructured":"Dong, K., Li, D., Zhang, J., Zhao, X., Dong, L., Zhang, P.: RV-YOLO: real-time object detection algorithm for rail transit platform scenarios. J. Real-Time Image Process. 22, 1\u201319 (2025)","journal-title":"J. Real-Time Image Process."},{"key":"1857_CR47","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12112434","volume":"12","author":"J Shang","year":"2023","unstructured":"Shang, J., Wang, J., Liu, S., Wang, C., Zheng, B.: Small target detection algorithm for UAV aerial photography based on improved YOLOv5s. Electronics 12, 2434 (2023). https:\/\/doi.org\/10.3390\/electronics12112434","journal-title":"Electronics"},{"key":"1857_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.126440","volume":"269","author":"H Wang","year":"2025","unstructured":"Wang, H., Liu, J., Zhao, J., Zhang, J., Zhao, D.: Precision and speed: LSOD-YOLO for lightweight small object detection. Expert Syst. Appl. 269, 126440 (2025)","journal-title":"Expert Syst. Appl."},{"key":"1857_CR49","first-page":"1","volume":"71","author":"Y Dai","year":"2022","unstructured":"Dai, Y., Liu, W., Wang, H., Xie, W., Long, K.: Yolo-former: marrying yolo and transformer for foreign object detection. IEEE Trans. Instrum. Meas. 71, 1\u201314 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"1857_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109376","volume":"252","author":"H Feng","year":"2022","unstructured":"Feng, H., Wang, L., Li, Y., Du, A.: LKASR: Large kernel attention for lightweight image super-resolution. Knowl.-Based Syst. 252, 109376 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"1857_CR51","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/s11554-024-01479-9","volume":"21","author":"M Yuan","year":"2024","unstructured":"Yuan, M., Meng, H., Wu, J.: AM YOLO: Adaptive multi-scale YOLO for ship instance segmentation. J. Real-Time Image Process. 21, 100 (2024)","journal-title":"J. Real-Time Image Process."},{"key":"1857_CR52","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"1857_CR53","doi-asserted-by":"publisher","DOI":"10.3390\/app12199697","volume":"12","author":"C Sun","year":"2022","unstructured":"Sun, C., Zhang, S., Qu, P., Wu, X., Feng, P., Tao, Z., Zhang, J., Wang, Y.: MCA-YOLOV5-Light: a faster, stronger and lighter algorithm for helmet-wearing detection. Appl. Sci. 12, 9697 (2022).https:\/\/doi.org\/10.3390\/app12199697","journal-title":"Appl. Sci."},{"key":"1857_CR54","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1080\/17499518.2023.2172187","volume":"17","author":"Z Zhou","year":"2023","unstructured":"Zhou, Z., Yan, L., Zhang, J., Yang, H.: Real-time tunnel lining crack detection based on an improved you only look once version X algorithm. Georisk Assess. Manag. Risk Eng. Syst. Geohazards 17, 181\u2013195 (2023)","journal-title":"Georisk Assess. Manag. Risk Eng. Syst. Geohazards"},{"key":"1857_CR55","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s11554-025-01720-z","volume":"22","author":"X Gan","year":"2025","unstructured":"Gan, X., Huang, L., Yuan, Y., Deng, Y.: FAN-YOLO: Real-time driver behavior detection based on full-layer aggregation network of YOLO. J. Real-Time Image Process. 22, 139 (2025)","journal-title":"J. Real-Time Image Process."},{"key":"1857_CR56","unstructured":"Song, X., Diao, M., Dong, G., Wang, Z., Fu, Y., Qiao, R., Wang, Z., Fu, D., Wu, H., Liang, B., others: Cs-bench: A comprehensive benchmark for large language models towards computer science mastery. arXiv preprint arXiv:2406.08587. (2024)"},{"key":"1857_CR57","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. pp. 7464\u20137475 (2023)","DOI":"10.1109\/CVPR52729.2023.00721"}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-026-01857-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11554-026-01857-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-026-01857-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T07:32:58Z","timestamp":1778484778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11554-026-01857-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,18]]},"references-count":57,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["1857"],"URL":"https:\/\/doi.org\/10.1007\/s11554-026-01857-5","relation":{},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"value":"1861-8200","type":"print"},{"value":"1861-8219","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,18]]},"assertion":[{"value":"10 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"63"}}