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 Advanced Technology Specialist-Sensing System Alignment - Warren, Michigan, United States

Job information
Posted by: General Motors 
Hiring entity type: Other 
Work authorization: Existing work authorization required for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Other
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: ctJs06zOFekZmNmGPwUmAJOUGn4yoG / Latpro-3823179 
Date posted: Sep-12-2021
State, Zip: Michigan, 48093


Advanced Technology Specialist-Sensing System Alignment, Warren, MI, General Motors. Research &dvlp Python scripts using cmptr vision techniques, to automate calibration of cameras, used for all perception applications in Ultra Cruise (enhanced Levels 2/3 autonomous driving sys for commercial &fleet vehicles). Automate ground truthing of cameras on psgr vehicles using high precision time-of-flight Vicon Motion Syss (incldg Vantage, T-Series, Bonita cameras &units) incldg precise location of camera on vehicle w/ respect to Real-Time-kinetic device used as center of gravity (CG) of vehicle, &to reduce or eliminate inaccuracies in camera Degrees of Freedom values being used by perception algorithms incldg Lane Detection/ Departure Warning/ Keep Assist features. Dvlp Python scripts to automate alignment of cameras on autonomous vehicles in mfg plant environment using cmptr vision techniques. Dvlp Python algorithms using cmptr vision techniques for surround eye cameras to automatically align cameras to vehicle CG. Master, Electrical or Computer Engrg. 12 mos exp as Engineer, dvlpg Python or C language prototype algorithms for surround eye cameras to localize autonomous vehicle in its surroundings, or related. Mail resume to Ref#2114, GM Global Mobility, 300 Renaissance Center, MC:482-C32-C66, Detroit, MI 48265.

recblid be58l507wrs3wvr9ujhson2btkrtgv




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