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Real-time estimation of drivable image area based on monocular vision.

, , , and . Intelligent Vehicles Symposium, page 63-68. IEEE, (2013)

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Real-time estimation of drivable image area based on monocular vision., , , and . Intelligent Vehicles Symposium, page 63-68. IEEE, (2013)Short-term visual mapping and robot localization based on learning classifier systems and self-organizing maps.. Intelligent Vehicles Symposium, page 235-240. IEEE, (2015)The new generation of standard data recording device for intelligent vehicles., , , , , , and . ITSC, page 2669-2674. IEEE, (2016)Nondeterministic Criteria to Discard Redundant Information in Real Time Autonomous Navigation Systems based on Monocular Vision., , , and . ISIC, page 420-425. IEEE, (2008)Robust horizon finding algorithm for real-time autonomous navigation based on monocular vision., , , and . ITSC, page 532-537. IEEE, (2011)Real-time dynamic power management based on Pearson's Correlation Coefficient., , , and . ICAR, page 304-309. IEEE, (2011)In Motion Low-Cost IMU-to-Vehicle Alignment for Intelligent Vehicle Applications Using Kalman Filter., , , , and . ITSC, page 92-97. IEEE, (2021)Système de Perception Visuel Embarqué appliqué à la Navigation Sûre de Véhicules. (Embedded Visual Perception System applied to Safe Navigation of Vehicles).. University of Campinas, Brazil, (2011)The Use of Smartphones as a Smart Sensor for Intelligent Vehicles., , and . LARS/SBR, page 37-42. IEEE, (2016)A 2D/3D environment perception approach applied to sensor-based navigation of automated driving systems., , and . LARS/SBR, page 1-6. IEEE, (2017)