Research Associate
| guang@in.tum.de | |
| Room | MI 03.07.054 |
| Phone | +49.89.289.18112 |
| Fax | +49.89.289.18107 |
| Address | Institut für Informatik VI Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany |
| Homepage | https://www6.in.tum.de/Main/Guang |
Curriculum Vitæ
- 03/2016-02/2017: Senior Researcher at fortiss GmbH, working in the field of autonomous driving and intelligent transportation systems.
- 03/2016-02/2017: Joined the neurorobotics team at Technische Universität München, working in the Human Brain Project (HBP) in the fields of neurorobotics,robotic modeling and simulation, machine learning, autonomous driving and simulation.
- 10/2011-02/2016: Staff researcher within the automotive group at fortiss, working in the field of autonomous driving, multi-sensor data fusion, automotive sensor set validation, computer vision, and machine learning in the context of intelligent transportation systems.
Project
- Human Brain Project Neurorobotics
Thesis Topics (Computer Vision, Robotics, Intelligent Vehicle):
- Proposal for Autonomous Driving
- BA,MA,DA: For students who are interested in doing a thesis in autonomous driving, please write an email to me (guang@in.tum.de), I will give you more details for each proposed topic.
- Proposal:
- BA,MA,DA: Develop an Event based Vision System for Intelligent Vehicle (Intelligent Vehicle, Machine Learning, Computer Vision)
- BA,MA,DA: Target Tracking based on Bio-inspired Vision Sensor (Machine Learning, Computer Vision)
- BA,MA,DA: Human Motion/Action/Gesture Recognition Based on Bio-inspired Vision Sensor (Machine Learning, Computer Vision)
- On Going:
- Building an HD Map based on Vision System for Autonomous Driving Vehicle
- Highly Accurate Autonomous Vehicle Localization based on HD Laser Map
- Learning Robot Grasping based on Event based Vision Sensor (Master Thesis)
- Lane Detection based on Event based Vision Sensor (Master Thesis)
- Autonomous Locomotion of Snake-like Robot based on Event based Vision Sensor (Master Thesis)
- Develop an Event based Vision System for Intelligent Vehicle-Driver Interaction (Master Thesis)
Teaching
- Summer Semester 2017: Sensorset based Autonomous Driving
- Summer Semester 2016: Kognitive Systeme
- Summer Semester 2015: Autonomes Fahren
Awards
- Ranked the 10-th Place in ChaLearn Looking at People @ ECCV2014, Machine Learning Challenge
- Second prize of Best Poster Paper in IEEE Intelligent Vehicle Symposium 2012
- DAAD Stipendium for Top Level Conference Travel
Publications
| [1] | Zhenshan Bing, Claus Meschede, Kai Huang, Guang Chen, Florian Röhrbein, Mahmoud Akl, and Alois Knoll. End to end learning of spiking neural network based on r-stdp for a lane keeping vehicle, to be appear. In 2018 IEEE International Conference on Robotics and Automation (ICRA), May 2018. [ .bib ] |
| [2] | Zhuangyi Jiang, Zhenshan Bing, Kai Huang, Guang Chen, Long Cheng, and Alois Knoll. Event-based target tracking control for a snake robot using a dynamic vision sensor. In International Conference On Neural Information Processing (ICONIP), November 2017. [ .bib ] |
| [3] | Zhenshan Bing, Long Cheng, Kai Huang, Zhuangyi Jiang, Guang Chen, Florian Röhrbein, and Alois Knoll. Towards autonomous locomotion: Slithering gait design of a snake-like robot for target observation and tracking. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2017. [ .bib ] |
| [4] | Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Rohrbein, Jorg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, and Alois Knoll. Online multi-object tracking-by-clustering for intelligent transportation system with neuromorphic vision sensor. In the 40th German Conference on Artificial Intelligence(KI 2017), September 2017. [ .bib ] |
| [5] | Mingchuan Zhou, Hessam Roodaki, Abouzar Eslami, Guang Chen, Kai Huang, Mathias Maier, Chris P. Lohmann, Alois Knoll, and M. Ali Nasseri. Needle segmentation in volumetric optical coherence tomography images for ophthalmic microsurgery. In Applied Sciences, July 2017. [ .bib | .pdf ] |
| [6] | Guang Chen, Zhenshan Bing, Florian Rohrbein, Jorg Conradt, Kai Huang, Long Cheng, Zhuangyi Jiang, and Alois Knoll. Towards brain-inspired learning with the neuromorphic snake-like robot and the neurorobotic platform. In IEEE Transactions on Cognitive and Developmental Systems, June 2017. accepted. [ .bib ] |
| [7] | Biao Hu, Uzair Sharif, Rajat Koner, Guang Chen, Kai Huang, Feihu Zhang, Walter Stechele, and Alois Knoll. Random finite set based bayesian filtering with opencl in a heterogeneous platform. In Sensors, April 2017. [ .bib | .pdf ] |
| [8] | Zhenshan Bing, Long Cheng, Guang Chen, Florian Röhrbein, Kai Huang, and Alois Knoll. Towards autonomous locomotion: Cpg-based control of smooth 3d slithering gait transition of a snake-like robot. Bioinspiration & Biomimetics, 12(3):035001, 2017. [ DOI | .bib ] |
| [9] | Guang Chen, Daniel Clarke, Manuel Giuliani, Andre Gaschler, and Alois Knoll. Combining unsupervised learning and discrimination for 3d action recognition. In Signal Processing, Elsevier, 2015. accepted. [ .bib ] |
| [10] | Marina S. L. Mocker, Manuel Schiller, Robert Brem, Zuguang Sun, Hicham Tazi, Thomas F. Eibert, and Alois Knoll. Combination of Full Wave Methods and Ray Tracing for Radiation Pattern Simulations of Antennas on Vehicle Roofs. In Antennas and Propagation (EUCAP), 2015 9th European Conference on, 2015. [ .bib ] |
| [11] | Guang Chen, Daniel Clarke, David Weikersdorfer, Manuel Giuliani, Andre Gaschler, and Alois Knoll. Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination. In ChaLearn Looking at People Workshop, European Conference on Computer Vision (ECCV2014), September 2014. [ .bib ] |
| [12] | Guang Chen, Manuel Giuliani, Daniel Clarke, Andre Gaschler, and Alois Knoll. Action recognition using ensemble weighted multi-instance learning. In IEEE International Conference on Robotics and Automation (ICRA), June 2014. [ .bib | .pdf ] |
| [13] | Guang Chen, Daniel Clarke, and Alois Knoll. Learning weighted joint-based features for action recognition using depth camera. In The 9th International Conference on Computer Vision Theory and Applications(VISAPP), January 2014. [ .bib ] |
| [14] | Guang Chen, Feihu Zhang, Daniel Clarke, Christian Buckl, and Alois Knoll. Learning weighted joint-based features for action recognition using depth camera. In The 9th International Conference on Computer Vision Theory and Applications(VISAPP), January 2014. [ .bib ] |
| [15] | Guang Chen, Daniel Clarke, Feihu Zhang, and Alois Knoll. Learning to track multi-target online by boosting and scene layout. In The 12th International Conference on Machine Learning and Applications (ICMLA13), December 2013. [ .bib | .pdf ] |
| [16] | Feihu Zhang, Hauke Staehle, Guang Chen, Christian Buckl, and Alois Knoll. Multiple vehicle cooperative localization under random finite set framework. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2013. [ .bib | .pdf ] |
| [17] | Feihu Zhang, Carsten Simon, Guang Chen, Christian Buckl, and Alois Knoll. Cumulative error estimation from noisy relative measurements. In 16th International Conference on Intelligent Transport Systems (ITSC), October 2013. [ .bib | .pdf ] |
| [18] | Guang Chen, Feihu Zhang, Manuel Giuliani, Christian Buckl, and Alois Knoll. Unsupervised learning spatio-temporal features for human activity recognition from rgb-d video data. In Proceedings of the International Conference on Social Robotics (ICSR 2013), October 2013. [ .bib ] |
| [19] | Feihu Zhang, Guang Chen, Hauke Staehle, Christian Buckl, and Alois Knoll. Visual odometry based on random finite set statistics in urban environment. In Intelligent Vehicles Symposium (IV), 2012 IEEE, June 2012. [ DOI | .bib | .pdf ] |
| [20] | Feihu Zhang, Hauke Staehle, Guang Chen, Chao Chen, Carsten Simon, Christian Buckl, Alois Knoll, and Gerhard Schrott. A sensor fusion approach for localization with cumulative error elimination. In Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2012), 2012. [ DOI | .bib | .pdf ] |