{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:10:29Z","timestamp":1760127029629,"version":"build-2065373602"},"reference-count":16,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T00:00:00Z","timestamp":1683244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This Special Issue compiles papers submitted by the Editorial Board Members of the Vehicular Sensing Section and outstanding scholars in this field [...]<\/jats:p>","DOI":"10.3390\/s23094495","type":"journal-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T03:57:31Z","timestamp":1683259051000},"page":"4495","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feature Papers in Vehicular Sensing"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9532-3835","authenticated-orcid":false,"given":"Felipe","family":"Jim\u00e9nez","sequence":"first","affiliation":[{"name":"Instituto Universitario de Investigaci\u00f3n del Autom\u00f3vil (INSIA), Universidad Polit\u00e9cnica de Madrid, 28031 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nie, X., Min, C., Pan, Y., Li, Z., and Kr\u00f3lczyk, G. (2022). An Improved Deep Neural Network Model of Intelligent Vehicle Dynamics via Linear Decreasing Weight Particle Swarm and Invasive Weed Optimization Algorithms. Sensors, 22.","DOI":"10.3390\/s22134676"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Alabe, L.W., Kea, K., Han, Y., Min, Y.J., and Kim, T. (2022). A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System. Sensors, 22.","DOI":"10.3390\/s22228981"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Li, G., Wei, X., Wang, Z., and Bao, H. (2022). Study on the Pressure Regulation Method of New Automatic Pressure Regulating Valve in the Electronically Controlled Pneumatic Brake Systems in Commercial Vehicles. Sensors, 22.","DOI":"10.3390\/s22124599"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Araluce, J., Bergasa, L.M., Oca\u00f1a, M., L\u00f3pez-Guill\u00e9n, E., Guti\u00e9rrez-Moreno, R., and Arango, J.F. (2022). Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator. Sensors, 22.","DOI":"10.3390\/s22249993"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Gryz, K., Karpowicz, J., and Zradzinski, P. (2022). Complex Electromagnetic Issues Associated with the Use of Electric Vehicles in Urban Transportation. Sensors, 22.","DOI":"10.3390\/s22051719"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Luo, R., Song, Y., Huang, L., Zhang, Y., and Su, R. (2023). AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting. Sensors, 23.","DOI":"10.3390\/s23041975"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Abdelkader, G., Elgazzar, K., and Khamis, A. (2021). Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities. Sensors, 21.","DOI":"10.3390\/s21227712"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Wong, R., White, J., Gill, S., and Tayeb, S. (2022). Virtual Traffic Light Implementation on a Roadside Unit over 802.11pWireless Access in Vehicular Environments. Sensors, 22.","DOI":"10.3390\/s22207699"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wu, Z., Bartoletti, S., Martinez, V., and Bazzi, A. (2022). A Methodology for Abstracting the Physical Layer of Direct V2X Communications Technologies. Sensors, 22.","DOI":"10.3390\/s22239330"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"AL-Dhief, F.T., Muniyandi, R.C., Sabri, N., Hamdan, M., Latiff, N.M.A., Albadr, M.A.A., Khairi, M.H.H., Hamzah, M., and Khan, S. (2022). Forest Fire Detection Using New Routing Protocol. Sensors, 22.","DOI":"10.3390\/s22207745"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Di\u017eo, J., Blatnick\u00fd, M., Gerlici, J., Leitner, B., Melnik, R., Semenov, S., Mikhailov, E., and Kostrzewski, M. (2021). Evaluation of Ride Comfort in a Railway Passenger Car Depending on a Change of Suspension Parameters. Sensors, 21.","DOI":"10.3390\/s21238138"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Vasile, I., Tudor, E., Sburlan, I.-C., Ghet, M.-A., and Popa, G. (2021). Experimental Validation of LiDAR Sensors Used in Vehicular Applications by Using a Mobile Platform for Distance and Speed Measurements. Sensors, 21.","DOI":"10.3390\/s21238147"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Gautam, A., Singh, M., Sujit, P.B., and Saripalli, S. (2022). Autonomous Quadcopter Landing on a Moving Target. Sensors, 22.","DOI":"10.3390\/s22031116"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Tamas, D.M., Kis, B.M., Tamas, A., and Szalay, R. (2022). Identifying CO2 Seeps in a Long-Dormant Volcanic Area Using Uncrewed Aerial Vehicle-Based Infrared Thermometry: A Qualitative Study. Sensors, 22.","DOI":"10.3390\/s22072719"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Abotaleb, M., Mindykowski, J., Dudojc, B., and Masnicki, R. (2022). Case-Study-Based Overview of Methods and Technical Solutions of Analog and Digital Transmission in Measurement and Control Ship Systems. Sensors, 22.","DOI":"10.3390\/s22186931"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Peng, Y.-T., Chen, Y.-R., Chen, Z., Wang, J.-H., and Huang, S.-C. (2022). Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling. Sensors, 22.","DOI":"10.3390\/s22062168"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/9\/4495\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:29:34Z","timestamp":1760124574000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/9\/4495"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,5]]},"references-count":16,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["s23094495"],"URL":"https:\/\/doi.org\/10.3390\/s23094495","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2023,5,5]]}}}