Foto von Hu Cao

Hu Cao

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Dienstort

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Work:
Boltzmannstr. 3(5607)/III
85748 Garching b. München

  • Sprechstunde: Appointment by e-mail
  • Raum: 5607.03.059
  • hu.cao(at)tum.de

Curriculum Vitae

Hu Cao is a PhD candidate in the Chair of Robotics, Artificial Intelligence and Real-time Systems under the supervision of Prof.Knoll . He graduated from state key laboratory of advanced design and manufacturing for vehicle body of Hunan University, China. Before coming to TUM, he did research in the Intelligent Automobile Research Institute of Automobile College of Tongji University. His research area focuses on Computer Vision, Neuromorphic Egnieering, Robotics and Artificial Intelligence Algorithms.

Research Interests

  • Deep learning: object recognition, 2D/3D detection, tracking, parking slot detection, lane segmentation;

  • Medical image analysis;

  • Robotics: visual manipulation sensing and control.

Thesis topics

  • Topic 1: Visual manipulation sensing for robot grasping learning.

  • Topic 2: Vehicle/people detection and tracking for intelligent transportation system.

  • Topic 3: Parking slot detection based on deep neural network.

  • Topic 4: Object detection and semantic segmentation for autonomous driving.

If you are interested in these thesis topics, please send me an email with your background and skills.

Publications

2021

  • Cao, Hu; Chen, Guang; Li, Zhijun; Lin, Jianjie; Knoll, Alois: Residual Squeeze-and-Excitation Network with Multi-scale Spatial Pyramid Module for Fast Robotic Grasping Detection. 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2021 more… BibTeX Full text ( DOI )
  • Cao, Hu; Chen, Guang; Xia, Jiahao; Zhuang, Genghang; Knoll, Alois: Fusion-based Feature Attention Gate Component for Vehicle Detection based on Event Camera. IEEE Sensors Journal, 2021, 1-1 more… BibTeX Full text ( DOI )

2020

  • Chen, Guang and Cao, Hu and Conradt, Jörg and Tang, Huajin and Röhrbein, Florian and Knoll, Alois: Event-based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-inspired Visual Sensing and Perception. IEEE Signal Processing Magazine, 2020 more… BibTeX Full text ( DOI )
  • Hu, Yingbai; Chen, Guang; Zhang, Longbin; Su, Hang; Li, Mengyao; Schmirander, Yunus; Cao, Hu; Knoll, Alois: Fuzzy Adaptive Control-based Real-time Obstacle Avoidance under Uncertain Perturbations. 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), 2020 more… BibTeX Full text ( DOI )
  • Li, Wei; Cao, Hu; Liao, Jiacai; Xia, Jiahao; Cao, Libo; Knoll, Alois: Parking Slot Detection on Around-View Images Using DCNN. Frontiers in Neurorobotics 14, 2020 more… BibTeX Full text ( DOI )

2019

  • Chen, Guang; Cao, Hu; Ye, Canbo; Zhang, Zhenyan; Liu, Xingbo; Mo, Xuhui; Qu, Zhongnan; Conradt, Jörg; Röhrbein, Florian; Knoll, Alois: Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors. Frontiers in Neurorobotics 13, 2019 more… BibTeX Full text ( DOI )

2018

  • Chen, Guang; Cao, Hu; Aafaque, Muhammad; Chen, Jieneng; Ye, Canbo; Röhrbein, Florian; Conradt, Jörg; Chen, Kai; Bing, Zhenshan; Liu, Xingbo; Hinz, Gereon; Stechele, Walter; Knoll, Alois: Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System. Journal of Advanced Transportation 2018, 2018, 1-13 more… BibTeX Full text ( DOI )