Computer Vision Intern – Safe Human Detection (m/f/d)
Core
Implement and benchmark 3D person detection algorithms fusing depth, RGB, and point cloud data for real-time safety-critical systems around humanoid robots.
Role type
Computer Vision Intern (Safety Systems)
Builds
Safe Human Detection (SHD) prototype pipeline and test harnesses for safety interface validation
Domain
Robotics, Computer Vision, Functional Safety
Deliverable
production ML models
Required skills
Python, C++, Computer Vision, 3D depth sensing, Point cloud processing (PCL/Open3D), ROS2 perception stack
Preferred skills
Safety-critical systems knowledge, Functional safety context
Technologies
RealSense, Azure Kinect, ROS2, PCL, Open3D
Responsibilities
Implement 3D person detection algorithms, Build SHD prototype pipeline, Develop test harnesses, Run benchmarking and data collection
Seniority
Intern
