Mobileye
Tsachi Namir leads the functionality and products validation efforts at Mobileye. This work includes performance analysis of Mobileye's algorithms, product validation, autonomous vehicle operation and validation, data collection and engineering.
During his 12 years at Mobileye, Namir has worked to significantly improve validation processes leading to better product quality. His team of experts, managers and engineers develops relevant system success measures and new ground-truth solutions, and has adapted statistical methods to meet Mobileye validation requirements. His team also developed and established an AV operation and validation platform to support Mobileye's autonomous vehicle engineering. Namir’s team also developed procedures and tools for data collection, management and engineering in support of all Mobileye R&D users.
Namir graduated summa cum laude from the Ono Academic College with a Bachelor of Laws (LLB) degree. He spends time away from work with his wife and four children.
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Mobileye
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Mobileye N.V. is engaged in the development of computer vision and machine learning-based sensing, mapping and driving policy technology for advanced driver assistance systems and autonomous driving technologies. The Company operates through two segments: Original Equipment Manufacturing, which supplies the software algorithms and EyeQ chip, and After Market, which sells a complete system, which includes its software algorithms and EyeQ chip, as well as the camera and other necessary components. Its software algorithms and EyeQ chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Its products are able to detect roadway markings; identify and read traffic signs, directional signs and traffic lights; create a Roadbook of localized drivable paths and visual landmarks using its road experience management technology, and provide mapping for autonomous driving.