Thesis project: intelligent point cloud filtering for improved pallet perception

Responsibilities

• ▹Work with a modern sensor system: a 2D RGB camera for object detection, a Time of Flight (ToF) 3D camera for distance estimation and an Nvidia GPU for data processing
• ▹Correlate pixels from the RGB camera with points in the 3D point cloud from the ToF camera
• ▹Determine the distance to the front of a detected object by filtering out irrelevant parts of the point cloud
• ▹Develop the filtering method and compare it with alternative methods
• ▹Enable adapted entry based on exact load position and orientation

Requirements

• ▹Students of Engineering Physics, Computer Science Engineering or Media Technology and AI (civilingenjör), or equivalent
• ▹Scope: 1-2 people, 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.