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Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization.

, and . CVPR Workshops, page 604-609. IEEE Computer Society, (2013)

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On Enhancing Lane Estimation Using Contextual Cues., and . IEEE Trans. Circuits Syst. Video Techn., 25 (11): 1870-1881 (2015)Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies., and . ITSC, page 697-702. IEEE, (2014)Snap-DAS: A vision-based driver assistance system on a SnapdragonTM embedded platform., , , and . Intelligent Vehicles Symposium, page 660-665. IEEE, (2015)Drive quality analysis of lane change maneuvers for naturalistic driving studies., , and . Intelligent Vehicles Symposium, page 654-659. IEEE, (2015)Vision-based patient monitoring: a comprehensive review of algorithms and technologies., , , and . J. Ambient Intell. Humaniz. Comput., 9 (2): 225-251 (2018)DocTr: Document Transformer for Structured Information Extraction in Documents., , , , , , , , and . ICCV, page 19527-19537. IEEE, (2023)Performance Evaluation of Direct Form FIR Filter with Merged Arithmetic Architecture., , , , and . DELTA, page 407-409. IEEE Computer Society, (2004)A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment., , , , , and . CoRR, (2017)Exploiting Inherent Parallelisms for Accelerating Linear Hough Transform., , and . IEEE Trans. Image Processing, 18 (10): 2255-2264 (2009)Towards automated drive analysis: A multimodal synergistic approach., , , , and . ITSC, page 1912-1916. IEEE, (2013)