- Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems 24 (8), 2023, 8386-8392 mehr…
- An Energy-Efficient Lane-Keeping System Using 3D LiDAR Based on Spiking Neural Network. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023 mehr…
- Toward Neuromorphic Perception: Spike-driven Lane Segmentation for Autonomous Driving using LiDAR Sensor. IEEE 26th International Conference on Intelligent Transportation Systems, 2023 mehr…
- Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023 mehr…
- Towards cognitive navigation: A biologically inspired calibration mechanism for the head direction cell network. Journal of Automation and Intelligence 2 (1), 2023, 31-41 mehr…
- A Biologically-Inspired Global Localization System for Mobile Robots Using LiDAR Sensor. 2022 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2022 mehr…
- A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022 mehr…
- Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network. IEEE Transactions on Neural Networks and Learning Systems, 2021 mehr…
- Fusion-based Feature Attention Gate Component for Vehicle Detection based on Event Camera. IEEE Sensors Journal, 2021, 1-1 mehr…
- A Real-Time Embedded Localization in Indoor Environment Using LiDAR Odometry. In: Communications in Computer and Information Science. Springer Singapore, 2018 mehr…
Genghang Zhuang
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
- Office hours: by appointment
- Room: 5607.03.059
- genghang.zhuang@tum.de
Curriculum Vitae
Genghang Zhuang is currently a doctoral student at Chair of Robotics, Artificial Intelligence and Real-time Systems, Department of Informatics, Technical University of Munich. He received his M.Eng degree in Software Engineering at Sun Yat-sen University, China, in 2019, and his B.Eng degree in Software Engineering at the same university in 2017.
His research interests include perception and planning in autonomous driving, especially with LiDAR sensors and biologically inspired methods.
| Oct. 2019 - Present | Research assistant, Ph.D. student at Informatics 6, Technical University of Munich |
| Sept. 2017 - June 2019 | M.Eng. at School of Computer Science and Engineering, Sun Yat-sen University, China |
| Aug. 2013 - June 2017 | B.Eng. at School of Computer Science and Engineering, Sun Yat-sen University, China |
Thesis Topics
- [MA/BA] Brain-inspired Localization and Mapping based on LiDAR Sensor
- [MA/BA] Spiking Neural Network for Autonomous Navigation based on LiDAR Sensor
- [MA/BA] Biologically-inspired Perception for Autonomous Vehicles based on LiDAR Sensor
If you are interested in one of the topics, please feel free to contact him.
Teaching
Demos
• LiDAR based SLAM and Navigation for Indoor Environments
