Stage Innovation : Ingénieur Intelligence Artificielle / Computer Vision
Core
Develop real-time computer vision components for a multi-agent digital twin that reconstructs real-world environments in 3D and tracks human operators and robotic agents.
Role type
Computer Vision Engineer (Student Intern)
Builds
Real-time digital twin platform with embedded vision solutions for robotic navigation
Domain
Robotics, Computer Vision, Embedded Systems
Deliverable
production ML models | product features
Required skills
Computer Vision, Image Acquisition, Image Pre-processing, 3D Mapping, Pose Estimation, Spatial Localization, Embedded AI, ROS, Python, C/C++, OpenCV, PyTorch/Tensorflow
Responsibilities
Study state-of-the-art in 3D mapping, pose estimation, spatial localization, and embedded AI; Acquire, process, and synchronize image streams within ROS; Develop solutions to process and aggregate real-time data from multiple static and mobile agents; Integrate navigation solutions into robotic agents; Design and implement real-time demonstrators on target platforms
