利用师生学习和冲刺开发高效的汽车增强现实解决方案

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利用师生学习和冲刺开发高效的汽车增强现实解决方案
利用师生学习和冲刺开发高效的汽车增强现实解决方案
利用师生学习和冲刺开发高效的汽车增强现实解决方案
利用师生学习和冲刺开发高效的汽车增强现实解决方案
利用师生学习和冲刺开发高效的汽车增强现实解决方案
摘要:

© 2023 STRADVISION1Developing an Efficient Automotive Augmented Reality Solution Using Teacher-Student Learning and SprintsJack SimCTOSTRADVISION© 2023 STRADVISION2What We DoVison perception foractive safety driving features​SensorsSensePlanActSVNetis part of the perception stack inADAS, which provides key information for next stages such asplanning and control© 2023 STRADVISION3SVNet, Cutting Edge AI Technology Industry Recognized Network 470+ patents with deepneural networkASPICE2) certificationMaturityMultiple commercial projects with automotive OEMs for mass-production of vehicle modelsHigh EfficiencyLight weight and compact DNN1) Algo Less computing resource requiredStrong PerformanceExpand and refine target algorithm through the state-of-the-art learning techniquesDeep learning-based vision perception algorithm + own know-how in automotive applicationsDNN1)Deep Neural NetworkASPICE2)Automotive Software Process Improvement and Capability dEtermination © 2023 STRADVISION4Product St

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利用师生学习和冲刺开发高效的汽车增强现实解决方案

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