Xiang Gao
Technical University of Munich
Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: work +49 (89) 289 - 18111
- Office hours: By Email
- Room: 5607.03.042
- xiang.gao(at)tum.de
Research Interests
- 3D Deep Learning
- Visual SLAM (Simultaneous Localization and Mapping)
- Vision-Based Navigation and Learning for Autonomous Vehicles
Teaching
- Masterpraktikum - Vision-Based Navigation and Learning for Autonomous Vehicles (IN2106, IN4270)
- Masterpraktikum - Visual Servoing for a Multi-DoFs Robot (IN2106, IN4271)
- Lab course - HW/SW co-design with a LEGO car (IN2106, IN0012,IN4154)
Offered Thesis
If you are interested in 3D Deep Learning or Visual SLAM and want to write a thesis in the area, please feel free to contact me.