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This paper introduces BIPOOLNET, an innovative encoder-decoder neural architecture, ingeniously augmented with a feature pyramid to facilitate the precise delineation of curved lane geometries. BIPOOLNET integrates max pooling and average pooling to extract critical features and mitigate the complexity of the feature map, redefining the benchmarks for lane detection technology. Rigorous evaluation using the TuSimple dataset underscores BIPOOLNET\u2019s exemplary performance, evidenced by an unprecedented accuracy rate of 98.45%, an F1-score of 98.17%, and notably minimal false positive (1.84%) and false negative (1.09%) rates. These findings not only affirm BIPOOLNET\u2019s supremacy over extant models but also signal a paradigm shift in enhancing the safety and navigational precision of autonomous vehicles, offering a scalable, robust solution to the multifaceted challenges posed by real-world driving dynamics.<\/jats:p>","DOI":"10.3233\/idt-240162","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T14:54:48Z","timestamp":1715698488000},"page":"743-757","source":"Crossref","is-referenced-by-count":0,"title":["BIPOOLNET: An advanced UNet architecture for enhanced lane detection in autonomous vehicles"],"prefix":"10.1177","volume":"18","author":[{"given":"Santhiya","family":"P","sequence":"first","affiliation":[]},{"given":"Immanuel JohnRaja","family":"Jebadurai","sequence":"additional","affiliation":[]},{"given":"Getzi Jeba Leelipushpam","family":"Paulraj","sequence":"additional","affiliation":[]},{"given":"Jenefa","family":"A","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/IDT-240162_ref1","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/MNET.2019.1900120","article-title":"Autonomous driving cars in smart cities: Recent advances, requirements, and challenges","volume":"34","author":"Yaqoob","year":"2020","journal-title":"IEEE Netw"},{"issue":"10","key":"10.3233\/IDT-240162_ref2","doi-asserted-by":"publisher","first-page":"9145","DOI":"10.1109\/TVT.2018.2854406","article-title":"A learning-based approach for lane departure warning systems with a personalized driver model","volume":"67","author":"Wang","year":"2018","journal-title":"IEEE Trans Veh Technol"},{"key":"10.3233\/IDT-240162_ref3","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1109\/ICAST55766.2022.10039558","article-title":"Self-driving cars in developing countries: Case study India","author":"Bharambe","year":"2022","journal-title":"2022 5th International Conference on Advances in Science and Technology (ICAST)"},{"issue":"5","key":"10.3233\/IDT-240162_ref4","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1109\/MWC.2019.1800477","article-title":"Hidden voice commands: Attacks and defenses on the VCS of autonomous driving cars","volume":"26","author":"Zhou","year":"2019","journal-title":"IEEE Wirel Commun"},{"issue":"6","key":"10.3233\/IDT-240162_ref5","doi-asserted-by":"publisher","first-page":"5321","DOI":"10.1109\/TVT.2019.2913187","article-title":"Lane Detection of Curving Road for Structural Highway with Straight-Curve Model on Vision","volume":"68","author":"Wang","year":"2019","journal-title":"IEEE Trans Veh Technol"},{"key":"10.3233\/IDT-240162_ref6","unstructured":"Seo YW, Rajkumar RR. 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