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Thesis project: camera-based driver monitoring and driver assistance in warehouse trucks
Other
• On-site
• Full-time
•
Mjölby, Sweden
Toyota Material Handling is looking for thesis students to explore future driver assistance systems by combining AI, camera technology, human-machine interaction and ergonomics. The work can focus on software development and AI algorithms, or be an ergonomics and function evaluation study.
Responsibilities
- ▹Evaluate how cameras can identify distraction and mobile phone use while driving
- ▹Investigate the possibility of monitoring the driver's position and safety behavior
- ▹Study how AI-based driver monitoring can improve safety, ergonomics and productivity
- ▹Develop or evaluate concepts for driver identification and intelligent support functions
- ▹Examine which functions give the greatest benefit to drivers and companies and how they can be implemented in future warehouse trucks
Requirements
- ▹Students of Computer Engineering, Software Engineering, Mechatronics, Engineering Physics or Industrial Design (civilingenjör), or Data or Electrical Engineering at bachelor level (högskoleingenjör)
- ▹Master's or bachelor's in ergonomics, cognitive science or HCI/HMI
- ▹Scope: 1-2 people, 15-30 credits
About the company
Toyota Material Handling is a world leader in material handling. At its site in Mjölby, Sweden, 3,000 employees work from development concepts to finished vehicles; the product range spans from manual hand trucks to autonomous vehicles and innovative energy solutions.
Education: Informatikai, szoftvertechnikai, mechatronikai, műszaki fizikai vagy ipari formatervezői mérnökképzés, illetve ergonómia, kognitív tudomány vagy HMI területén mester- vagy alapképzés
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