Description
Volvo Autonomous Solutions is seeking a master’s thesis student to research robust multimodal 3D object detection when RADAR data is missing or corrupted. The project involves designing training and evaluation strategies, training and testing detectors under camera-only and multimodal conditions, measuring robustness, and documenting results. Candidates should be enrolled in a relevant master’s programme, have Python and deep-learning framework experience, and be interested in autonomous systems and sensor data. The role provides technical supervision and GPU resources.
