Haohao Hu

M.Sc. Haohao Hu

  • Karlsruher Institut für Technologie
    Institut für Mess- und Regelungstechnik
    Engler-Bunte-Ring 21
    Gebäude 40.32
    D-76131 Karlsruhe

Research

My research interests focus on the area of automatic continuous mapping and localization for autonomous driving vehicles using GNSS, LiDAR, camera, odometry and IMU sensors. During the mapping process, the intrinsic and extrinsic calibration of the LiDAR and camera sensors can be estimated or improved simultaneously. After mapping, the driving route can be Geo-aligned into global coordinate system using GNSS and aerial imagery. I am currently working on a generalized localization system that takes a high-precision 3D semantic map and provides accurate and robust localization results.
My current research points are:

Teaching

  • Tutor "Grundlagen der Mess- und Regelungstechnik" (GMRT) (SS18, WS18/19, SS19, WS19/20, SS20, WS20/21)
  • Lecture "Grundlagen der Mess- und Regelungstechnik" (WS18/19, WS19/20)
  • Messtechnisches Praktikum (MTP) (SS19, SS20)
  • Rechnergestützte Verfahren in der Mess- und Regelungstechnik (RVMRT) (WS18/19, WS19/20, WS20/21)
  • Lecturer Technische Modul "Digital Signal Processing" für KSOP Studenten (KSOP-DSP) (2019, 2020)

Academic Services

  • Reviewer for
    • IEEE Intelligent Vehicles Symposium (IV) (2018)
    • IEEE International Conference on Intelligent Transportation Systems (ITSC) (2019, 2020)
    • IEEE International Conference on Multisensor Fusion and Integration (MFI) (2021)
    • IEEE Robotics and Automation Letters (RA-L) (2021)
    • IEEE International Conference on Robotics and Automation (ICRA) (2021)

Open Theses

Ongoing Theses

Completed Theses

Publications

Haohao Hu, Lukas Sackewitz, Martin Lauer. Joint Learning of Feature Detector and Descriptor for Visual SLAM. In IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, July 2021. accepted.

Sascha Wirges, Ye Yang, Haohao Hu, Christoph Stiller. Learned Enrichment of Top-View Grid Maps Improves Object Detection. In Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, October 2020. [ http ]

Haohao Hu, Aoran Wang, Marc Sons, Martin Lauer. ViPNet: An End-to-End 6D Visual Camera Pose Regression Network. In Proc. IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 2020. [ http ]

Haohao Hu, Johannes Beck, Martin Lauer, Christoph Stiller. Continuous Fusion of IMU and Pose Data using Uniform B-Spline. In International Conference on Multisensor Fusion and Integration (MFI), Karlsruhe, Germany, September 2020. [ http ]

Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer. Localization in Aerial Imagery with Grid Maps using LocGAN. In Proc. IEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, October 2019. [ http ]

Haohao Hu, Marc Sons, Christoph Stiller. Accurate Global Trajectory Alignment using Poles and Road Markings. In IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 2019. [ http ]

Jannik Quehl, Haohao Hu, Sascha Wirges, Martin Lauer. An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps. In Proc. IEEE Int. Conf. Intelligent Vehicles, June 2018. [ http ]

Jannik Quehl, Haohao Hu, Ömer Sahin Tas, Eike Rehder, Martin Lauer. How Good is My Prediction? Finding a Similarity Measure for Trajectory Prediction Evaluation. In Proc. IEEE Intell. Trans. Syst. Conf., Yokohama, Japan, October 2017. [ http ]