{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T08:15:02Z","timestamp":1792224902898,"version":"4.4.0"},"reference-count":38,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T00:00:00Z","timestamp":1727308800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100018540","name":"Gdynia Maritime University","doi-asserted-by":"publisher","award":["WN\/2024\/PZ\/07"],"award-info":[{"award-number":["WN\/2024\/PZ\/07"]}],"id":[{"id":"10.13039\/100018540","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper aims to thoroughly examine and compare advanced driver-assistance systems (ADASs) in the context of their impact on safety and driving comfort. It also sought to determine the level of acceptance and trust drivers have in these systems. The first chapter of this document describes the sensory detectors used in ADASs, including radars, cameras, LiDAR, and ultrasonics. The subsequent chapter presents the most popular driver assistance systems, including adaptive cruise control (ACC), blind spot detection (BSD), lane keeping systems (LDW\/LKS), intelligent headlamp control (IHC), and emergency brake assist (EBA). A key element of this work is the evaluation of the effectiveness of these systems in terms of safety and driving comfort, employing a survey conducted among drivers. Data analysis illustrates how these systems are perceived and identified areas requiring improvements. Overall, the paper shows drivers\u2019 positive reception of ADASs, with most respondents confirming that these technologies increase their sense of safety and driving comfort. These systems prove to be particularly helpful in avoiding accidents and hazardous situations. However, there is a need for their further development, especially in terms of increasing their precision, reducing false alarms, and improving the user interface. ADASs significantly contribute to enhancing safety and driving comfort. Yet, they are still in development and require continuous optimization and driver education to fully harness their potential. Technological advancements are expected to make these systems even more effective and user-friendly.<\/jats:p>","DOI":"10.3390\/s24196223","type":"journal-article","created":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T08:20:52Z","timestamp":1727338852000},"page":"6223","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":76,"title":["Analysis of Advanced Driver-Assistance Systems for Safe and Comfortable Driving of Motor Vehicles"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4149-8293","authenticated-orcid":false,"given":"Tomasz","family":"Neumann","sequence":"first","affiliation":[{"name":"Faculty of Navigation, Gdynia Maritime University, 81-225 Gdynia, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Raviteja, S., and Shanmughasundaram, R. (2018, January 14). Advanced Driver Assitance System (ADAS). Proceedings of the 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.","DOI":"10.1109\/ICCONS.2018.8663146"},{"key":"ref_2","unstructured":"Srinivasan, C., Sridhar, P., Madhumitha, R., and Sushmitha, R. (2023, January 1). Advanced Driver Assistance System (ADAS) in Autonomous Vehicles: A Complete Analysis. Proceedings of the 2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1145\/3577949.3577966","article-title":"Artificial Neural Networks for Real-Time Data Quality Assurance","volume":"42","author":"Sousa","year":"2022","journal-title":"Ada Lett."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Janeba, M., Bohumel, S., Hrn\u010d\u00e1r, J., Galinski, M., and Kotuliak, I. (2023, January 26\u201327). Small and Affordable Platform for Research and Education in Connected, Cooperative and Automated Mobility. Proceedings of the 2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA), Stary Smokovec, Slovakia.","DOI":"10.1109\/ICETA61311.2023.10344185"},{"key":"ref_5","first-page":"173","article-title":"Strategy for the Implementation of Transport Processes toward Improving Services","volume":"118","year":"2023","journal-title":"Zesz. Nauk. Transp.\/Politech. \u015al\u0105ska"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Ding, F., Zhu, K., Liu, J., Peng, C., Wang, Y., and Lu, J. (2024). Adaptive Memory Event Triggered Output Feedback Finite-Time Lane Keeping Control for Autonomous Heavy Truck with Roll Prevention. IEEE Trans. Fuzzy Syst., 1\u201314.","DOI":"10.1109\/TFUZZ.2024.3454344"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Unar, S., Su, Y., Liu, P., Teng, L., Wang, Y., and Fu, X. (2023). An Intelligent System to Sense Textual Cues for Location Assistance in Autonomous Vehicles. Sensors, 23.","DOI":"10.3390\/s23094537"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TFUZZ.2021.3128056","article-title":"Fuzzy Dynamic Output Feedback Force Security Control for Hysteretic Leaf Spring Hydro-Suspension With Servo Valve Opening Predictive Management Under Deception Attack","volume":"30","author":"Ding","year":"2022","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Exp\u00f3sito, I., Chin, I., Garc\u00eda S\u00e1nchez, M., Cui\u00f1as, I., and Verhaevert, J. (2023). Car Bumper Effects in ADAS Sensors at Automotive Radar Frequencies. Sensors, 23.","DOI":"10.3390\/s23198113"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1145\/3631483.3631496","article-title":"Cooperative Autonomous Driving in Simulation","volume":"43","author":"Costa","year":"2023","journal-title":"Ada Lett."},{"key":"ref_11","first-page":"87","article-title":"Bezpiecze\u0144stwo w ruchu drogowym","volume":"53","author":"Wszeborowski","year":"2020","journal-title":"Syst. Logistyczne Wojsk"},{"key":"ref_12","first-page":"383","article-title":"Model of Radio-Communications Platform Supporting Inland Navigation","volume":"18","author":"Lisaj","year":"2024","journal-title":"TransNav Int. J. Mar. Navig. Saf. Sea Transp."},{"key":"ref_13","unstructured":"Simian, D., and Stoica, L.F. (2022, January 28\u201330). A Method for Target Localization by Multistatic Radars. Proceedings of the Modelling and Development of Intelligent Systems, Sibiu, Romania."},{"key":"ref_14","first-page":"211","article-title":"Radar antykolizyjny","volume":"35","author":"Jarzemski","year":"2006","journal-title":"Probl. Tech. Uzbroj."},{"key":"ref_15","unstructured":"Choroma\u0144ski, W., Grabarek, I., Koz\u0142owski, M., Czerepicki, A., and Marczuk, K. (2020). Pojazdy Autonomiczne i Systemy Transportu Autonomicznego, Wydawnictwo Naukowe PWN SA."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Li, S., Yan, J., Chen, H., and Zheng, K. (2023). Radar-Camera Fusion Network for Depth Estimation in Structured Driving Scenes. Sensors, 23.","DOI":"10.3390\/s23177560"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Haas, L., Haider, A., Kastner, L., Zeh, T., Poguntke, T., Kuba, M., Schardt, M., Jakobi, M., and Koch, A.W. (2023). Velocity Estimation from LiDAR Sensors Motion Distortion Effect. Sensors, 23.","DOI":"10.3390\/s23239426"},{"key":"ref_18","first-page":"184","article-title":"Mo\u017cliwo\u015bci i ograniczenia monitorowania otoczenia z wykorzystaniem czujnika LiDAR","volume":"98","author":"Podbucki","year":"2022","journal-title":"Przegl\u0105d Elektrotechniczny"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Jun, W., Son, M., Yoo, J., and Lee, S. (2023). Optimal Configuration of Multi-Task Learning for Autonomous Driving. Sensors, 23.","DOI":"10.3390\/s23249729"},{"key":"ref_20","first-page":"1303","article-title":"Systemy wspomagaj\u0105ce bezpiecze\u0144stwo w transporcie drogowym","volume":"14","year":"2013","journal-title":"Autobusy Tech. Eksploat. Syst. Transp."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ren, J., Wang, X., Liu, C., Sun, H., Tong, J., Lin, M., Li, J., Liang, L., Yin, F., and Xie, M. (2023). 3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks. Sensors, 23.","DOI":"10.3390\/s23198341"},{"key":"ref_22","unstructured":"Solanke, S. (2024, September 20). Project 2 Adaptive Cruise Control. Available online: https:\/\/skill-lync.com\/student-projects\/project-2-adaptive-cruise-control-5."},{"key":"ref_23","first-page":"391","article-title":"Control of Electric Drive Tugboat Autonomous Formation","volume":"17","author":"Koznowski","year":"2023","journal-title":"TransNav Int. J. Mar. Navig. Saf. Sea Transp."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Wang, J., Wang, J., Zhu, Z., Qin, J., Yuan, W., Zhang, H., Fan, Y., Liu, C., Niu, W., and Li, S. (2021, January 29). Research on Construction of the Smart Internet of Vehicles. Proceedings of the 2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS), Shenyang, China.","DOI":"10.1109\/ICPICS52425.2021.9524104"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Xiao-Yun, L., Hedrick, J.K., and Drew, M. (2002, January 8\u201310). ACC\/CACC-Control Design, Stability and Robust Performance. Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), Anchorage, AK, USA.","DOI":"10.1109\/ACC.2002.1025325"},{"key":"ref_26","unstructured":"Alexiev, K., Tkachenko, I., Ivanushkin, M., and Volgin, S. (2018, January 21\u201323). Telemetry Information Restoring in Satellite Communications. Proceedings of the 21st International Conference on Computer Systems and Technologies, Ruse, Bulgaria."},{"key":"ref_27","unstructured":"Prasanna, K. (2024, September 20). Blind Spot Detection System Using Deep Learning. Available online: https:\/\/devpost.com\/software\/blind-spot-detection-using-deep-learning."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Bilik, D., Lehoczk\u00fd, P., and Kotuliak, I. (2023, January 26\u201327). Simulating Vehicle-to-Vehicle (V2V) Communication in Urban Traffic Scenarios. Proceedings of the 2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA), Stary Smokovec, Slovakia.","DOI":"10.1109\/ICETA61311.2023.10344219"},{"key":"ref_29","first-page":"14","article-title":"Nowoczesne systemy bezpiecze\u0144stwa stosowane w pojazdach i ich wp\u0142yw na bezpiecze\u0144stwo uczestnik\u00f3w ruchu drogowego","volume":"9","author":"Krzyszkowska","year":"2015","journal-title":"Bezpiecze\u0144stwo Pr. Nauka I Prakt."},{"key":"ref_30","first-page":"13","article-title":"Pojazdy zautomatyzowane w aspekcie zr\u00f3wnowa\u017conej mobilno\u015bci miejskiej","volume":"2021","year":"2021","journal-title":"Gospod. Mater. I Logistyka"},{"key":"ref_31","unstructured":"(2024, September 20). ICT Group Intelligently Controlling Headlight Beams. Available online: https:\/\/www.ict.eu\/en\/projects\/intelligently-controlling-headlight-beams."},{"key":"ref_32","unstructured":"(2024, September 20). Canadian Underwriter The One Technology the Industry Can\u2019t Wait to See Grow. Available online: https:\/\/www.canadianunderwriter.ca\/insurance\/the-one-technology-the-industry-cant-wait-to-see-grow-1004167271\/attachment\/emergency-braking-assist-eba-sysyem-to-avoid-car-crash-concept-smart-car-technology-3d-rendering-image\/."},{"key":"ref_33","first-page":"22","article-title":"Autonomiczny system awaryjnego hamowania\u2013dzia\u0142anie","volume":"5","author":"Budziszewski","year":"2015","journal-title":"Bezpiecze\u0144stwo Pr. Nauka I Prakt."},{"key":"ref_34","first-page":"7","article-title":"Czynnik ludzki a bezpiecze\u0144stwo w ruchu drogowym","volume":"18","year":"2017","journal-title":"Autobusy Tech. Eksploat. Syst. Transp."},{"key":"ref_35","first-page":"12","article-title":"Bezpiecze\u0144stwo a wykorzystanie inteligentnych system\u00f3w wspomagaj\u0105cych kierowc\u0119","volume":"18","author":"Dudek","year":"2017","journal-title":"Autobusy Tech. Eksploat. Syst. Transp."},{"key":"ref_36","first-page":"211","article-title":"Wp\u0142yw nowoczesnych system\u00f3w informatycznych na eksploatacj\u0119 pojazd\u00f3w osobowych","volume":"20","author":"Kaczmarek","year":"2019","journal-title":"Autobusy  Tech. Eksploat. Syst. Transp."},{"key":"ref_37","first-page":"19","article-title":"Nowoczesne systemy bezpiecze\u0144stwa w transporcie drogowym","volume":"20","author":"Sokalska","year":"2019","journal-title":"Przedsi\u0119biorczo\u015b\u0107 I Zarz\u0105dzanie"},{"key":"ref_38","first-page":"111","article-title":"Nowoczesne technologie wspomagaj\u0105ce bezpiecze\u0144stwo w transporcie","volume":"10","year":"2010","journal-title":"Probl. Transp. I Logistyki"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/19\/6223\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:03:33Z","timestamp":1760112213000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/19\/6223"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,26]]},"references-count":38,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["s24196223"],"URL":"https:\/\/doi.org\/10.3390\/s24196223","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,26]]}}}