Mobileye
Sarath Mohan is a seasoned engineering program manager with extensive experience in autonomous driving and vehicle integration. Currently serving as a Staff Engineering Program Manager at Mobileye, Sarath focuses on the planning, integration, and launch of hardware and software platforms to enhance the driver experience for a diverse European customer base. Previously, as a Technical Project Lead at CARIAD post-acquisition of Argo AI by Volkswagen Group, Sarath oversaw the technical roadmap and project budget for numerous autonomous driving initiatives. At Argo AI, various roles included leading the technical roadmap for autonomous driving projects, managing product launches, and integrating self-driving systems with vehicles for both Ford and Volkswagen. Additional experience spans engineering roles at companies such as Motional, Local Motors, Tesla Motors, and Renault-Nissan-Mitsubishi, contributing expertise in electric and autonomous vehicle systems design and integration. Sarath holds a Master of Science in Electrical and Electronics Engineering from Michigan Technological University and a Bachelor of Technology from Amrita Vishwa Vidyapeetham.
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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.