Jouko Kinnari
About Jouko Kinnari
Jouko Kinnari is a Research Engineer and Doctoral Candidate based in the Helsinki Area, Finland, specializing in localization techniques for drones. He has a background in control and industrial engineering and has worked with companies such as Saab, Konecranes, and KONE.
Work at Saab
Jouko Kinnari has been employed at Saab as a Research Engineer and Doctoral Candidate since 2019. In this role, he contributes to the company's research and development projects by collaborating on multiparty research initiatives and engaging in software development tasks. His work supports Saab's commitment to advancing technology and innovation in various sectors.
Previous Experience at Konecranes
Before joining Saab, Jouko Kinnari worked at Konecranes in various roles. He served as an R&D Engineer from 2010 to 2012, following a year as an R&D Engineer trainee from 2009 to 2010. His experience at Konecranes provided him with foundational skills in research and development within the engineering sector.
Experience at KONE
From 2012 to 2019, Jouko Kinnari held the position of Expert in Condition Monitoring & Diagnostics at KONE. In this capacity, he focused on monitoring systems and diagnostics, contributing to the optimization of operational efficiency and reliability in engineering solutions.
Education and Expertise
Jouko Kinnari studied at Aalto University, School of Science and Technology, where he earned a Master of Science (M.Sc.) in Control Engineering and Industrial Engineering from 2004 to 2010. He is currently a visiting PhD student at Aalto University School of Electrical Engineering, specializing in Intelligent Robotics. His research methods include computer vision, image processing, and sensor fusion, with a focus on localization techniques that do not rely on satellite navigation.
Research Focus and Specialization
Jouko Kinnari specializes in localization techniques that utilize visual-inertial odometry and visual localization, avoiding reliance on satellite navigation systems. His research aims to enable the use of low-cost drones for surveillance applications within a security context. This work involves advanced methodologies in computer vision and sensor integration, contributing to the field of intelligent robotics.