Abstract
With the continuous growth of the intelligent configuration level of the automobile cockpit in the domestic market, the visual experience of users in the intelligent cockpit has been greatly improved. In order to ensure the safety of the driver and passengers, the safety test of the intelligent cockpit requires a quantitative test of the driver's line of sight ability. In this paper, a bionic head vision tracking method for intelligent cockpit is described, and an intelligent bionic robot is developed to simulate the driver's eye point position by adjusting the height and posture of the bionic robot. The main test is to implant a high-frame camera into the eye of the bionic robot to take and analyze the optical icon and imaging in the cockpit.
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This work was supported by the Central Public Research Institutes Special Basic Research Foundation (2022-9026).
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Liu, M., Dong, X., Zhou, S. (2023). Research and Development of Visual Interactive Performance Test Methods and Equipment for Intelligent Cockpit. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-99-1145-5_3
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DOI: https://doi.org/10.1007/978-981-99-1145-5_3
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