Mobileye
Dahlia Urbach is a Computer Vision & Deep Learning Algorithm Research Engineer at Mobileye since September 2023, following experience as a Computer Vision Research Engineer at ADASKY from February 2021 to September 2023. Previous roles include Research Assistant at Technion - Israel Institute of Technology, focusing on 3D computer vision and machine learning, with research published in ECCV 2020, and teaching assistant for a computer vision course. Additional experience includes a computer vision summer internship at Rafael Advanced Defense Systems and a VLSI Engineer position at Broadcom Limited. Dahlia holds a Master of Science in Electrical & Computer Engineering from Technion and a Bachelor of Science with Cum Laude honors from Ben-Gurion University of the Negev.
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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.