Thesis: GenAI-Enhanced Multimodal Sensor Fusion for Robust Object Detection in Autonomous Driving

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Investigate how generative AI can improve multimodal sensor fusion for robust 3D object detection in autonomous vehicles under adverse conditions and sensor failures. This master's thesis project involves developing and evaluating a generative sensor-completion mechanism using real-world sensor data.

Responsibilities

Implement a generative sensor-completion mechanism for degraded or missing sensor information.
Integrate the completion mechanism with a pretrained bird’s-eye-view object detector.
Train and evaluate the system using synchronized LiDAR, camera, and RADAR data.
Test the approach under modality-dropout and simulated adverse-weather conditions.
Measure detection robustness and graceful degradation when sensor information is unavailable.
Analyze results and document findings in a scientific report.

Requirements

Enrolled in a master’s program in computer science, data science, machine learning, electrical engineering, robotics, or a related field.
Solid Python programming skills.
Hands-on experience with a deep-learning framework such as PyTorch or TensorFlow.
Interest in autonomous systems, machine perception, generative AI, and working with real-world sensor data.
Independent, structured, and curious.
Analytical and motivated to solve challenging technical problems.
Comfortable working with deep-learning models, multimodal data, and experimental evaluation.
Interested in sensor fusion and robust perception under challenging conditions.
Proficient in written and spoken English.

Benefits

Opportunity to work on a real industrial research problem.
Access to unique multimodal vehicle data and tools for advanced experiments.
Close technical supervision from experts in AI and autonomous systems.
Access to GPU resources and relevant development tooling.
Part of a dynamic and inclusive work environment where new ideas are encouraged.
Opportunity to contribute to sustainable transport and infrastructure solutions.

Skills

PythonPyTorchTensorFlow

#AI#autonomous driving#machine learning#sensor fusion

About Volvo Group

The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.\n\n

See all open jobs at Volvo Group Read more about Volvo Group Website