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Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions
2021
IEEE transactions on intelligent transportation systems (Print)
Head pose estimation is an important problem as it facilitates tasks such as gaze estimation and attention modeling. In the automotive context, head pose provides crucial information about the driver's mental state, including drowsiness, distraction and attention. It can also be used for interaction with in-vehicle infotainment systems. While computer vision algorithms using RGB cameras are reliable in controlled environments, head pose estimation is a challenging problem in the car due to
doi:10.1109/tits.2021.3075350
fatcat:57pcpuwbqjdobkpt3osx7dsr3a