Liguo Zhou

Liguo Zhou is a Researcher at the Technical University of Munich's Department of Informatics, affiliated with the Chair of Robotics, Artificial Intelligence, and Real-time Systems. His academic journey includes a Bachelor's in Software Engineering from Suzhou University (2008–2012), a Master's in Pattern Recognition and Intelligent Systems from Wuhan University (2015–2018), and ongoing PhD studies in Computer Science at TUM (2018–present).

His research centers on Computer Vision, Deep Learning, and Autonomous Driving, with specialized interests in object detection, path planning, semantic segmentation, and simulation frameworks for intelligent vehicles. Zhou develops efficient neural architectures for real-time applications in robotics and transportation systems.

Recent publications (2022–2024) predominantly focus on autonomous driving technologies, including trajectory prediction, collision avoidance networks, photorealistic simulators, and compressed learning frameworks. Over 80% of his work involves deep learning applications for vehicle perception and control.

He actively mentors students through thesis supervision (End-to-End Autonomous Driving, Vision-Centric Autonomous Driving) and teaches practical courses including:

• Simulation-Based Machine Learning in Robotics (2022–2023)
• Data Simulation for Autonomous Driving (2023)
• Simulation-Based Autonomous Driving in Crowded City (2023–2024)

Zhou contributes to the GarchingSim autonomous driving simulator project and collaborates extensively with TUM's robotics and AI research teams.