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Biography

Kunle T. Olutomilayo received a Dip. in computer engineering technology (Distinction) from the Federal Polytechnic Offa, Offa, Nigeria, in 2005, the B.Eng. degree (First Class, Hons.) in computer engineering from the University of Uyo, Uyo, Nigeria, in 2013, and the M.S. and Ph.D. degrees in electrical engineering from Michigan Technological University, Houghton, MI, USA, in 2018 and 2020, respectively. He worked as a postdoctoral scholar at Michigan Technological University. Currently, he is with Ford Greenfield Labs, Palo Alto, CA, USA. His research interests lie in statistical signal processing and machine learning.

Dr. Olutomilayo was awarded the Early Careers Academic Grant by the Association of Commonwealth Universities, London, U.K., in 2015.

Activities

Employment (5)

Ford Motor Company: Palo Alto, CA, US

2021-04 to present | AI/ML Research Scientist (Controls and Automated Systems)
Employment
Source: Self-asserted source
Kunle T. Olutomilayo

Michigan Technological University: Houghton, MI, US

2021-01 to 2021-04 | Postdoctoral Scholar (Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Kunle T. Olutomilayo

Michigan Technological University: Houghton, MI, US

2016-08 to 2020-12 | Research and Teaching Assistant (Electrical/Electronic and Computer Engineering)
Employment
Source: Self-asserted source
Kunle T. Olutomilayo

University of Uyo: Uyo, Akwa Ibom, NG

2014 to 2016 | Graduate Assistant Lecturer (Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Kunle T. Olutomilayo

University of Uyo: Uyo, Akwa Ibom, NG

2013 to 2014 | Teaching Assistant (National Service) (Electrical/Electronic and Computer Engineering)
Employment
Source: Self-asserted source
Kunle T. Olutomilayo

Education and qualifications (5)

Michigan Technological University: Houghton, MI, US

2016 to 2018 | PhD Candidate (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Kunle T. Olutomilayo

Michigan Technological University: Houghton, MI, US

2016 to 2018 | MSc (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Kunle T. Olutomilayo

National Open University of Nigeria: Lagos, NG

2015 to 2016 | PgDip (Public Administration)
Education
Source: Self-asserted source
Kunle T. Olutomilayo

University of Uyo: Uyo, Akwa Ibom, NG

2009 to 2013 | BEng (Computer Engineering)
Education
Source: Self-asserted source
Kunle T. Olutomilayo

Federal Polytechnic Offa: Offa, Kwara, NG

2004 to 2005 | Dip. (Computer Engineering Technology)
Education
Source: Self-asserted source
Kunle T. Olutomilayo

Works (5)

Automotive Radar-Based Hitch Angle Tracking Technique for Trailer Backup Assistant Systems

IEEE Transactions on Intelligent Vehicles
2023-02 | Journal article
Contributors: Mojtaba Bahramgiri; Saeid Nooshabadi; Kunle T. Olutomilayo; Daniel R. Fuhrmann
Source: check_circle
Crossref

Hitch Angle Estimation for Trailer Backup System—An Object Detection and Tracking Approach

IEEE Transactions on Instrumentation and Measurement
2022 | Journal article
Contributors: Mojtaba Bahramgiri; Saeid Nooshabadi; Kunle T. Olutomilayo; Daniel R. Fuhrmann
Source: check_circle
Crossref

Extrinsic Calibration of Radar Mount Position and Orientation With Multiple Target Configurations

IEEE Transactions on Instrumentation and Measurement
2021 | Journal article
Contributors: Kunle T. Olutomilayo; Mojtaba Bahramgiri; Saeid Nooshabadi; Daniel R. Fuhrmann
Source: check_circle
Crossref

Extrinsic Radar Calibration With Overlapping FoV and Hitch Ball Position Estimation

IEEE Transactions on Instrumentation and Measurement
2021 | Journal article
Contributors: Kunle T. Olutomilayo; Mojtaba Bahramgiri; Saeid Nooshabadi; Daniel R. Fuhrmann
Source: check_circle
Crossref

Dataset for trailer angle estimation using radar point clouds

Data in Brief
2021-10 | Journal article
Contributors: Kunle T. Olutomilayo; Mojtaba Bahramgiri; Saeid Nooshabadi; JinHyoung Oh; Mohsen Lakehal-Ayat; Douglas Rogan; Daniel R. Fuhrmann
Source: check_circle
Crossref