Haohao Hu

According to our database, Haohao Hu authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interactive Attention Learning on Detection of Lane and Lane Marking on the Road by Monocular Camera Image.

Wei Tian, Xianwang Yu, Haohao Hu

Sensors, July, 2023

Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function.

Haohao Hu, Hexing Yang, Jian Wu, Xiao Lei, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings.

Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller, Francisco A. Candelas, Fernando Torres

IEEE Robotics Autom. Lett., 2022

Extrinsic Calibration of UAV and Multi RGB-D Cameras with Non-overlapping by using an External Camera.

Na Shen, Tongyu Wei, Haohao Hu, Wilhelm Stork

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis.

Haohao Hu, Fengze Han, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DA-LMR: A Robust Lane Marking Representation for Data Association.

Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Continuous Fusion of Motion Data Using an Axis-Angle Rotation Representation with Uniform B-Spline.

Haohao Hu, Johannes Beck, Martin Lauer, Christoph Stiller

Sensors, 2021

DA-LMR: A Robust Lane Markings Representation for Data Association Methods.

Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller

CoRR, 2021

Joint Learning of Feature Detector and Descriptor for Visual SLAM.

Haohao Hu, Lukas Sackewitz, Martin Lauer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations.

Frank Bieder, Maximilian Link, Simon Romanski, Haohao Hu, Christoph Stiller

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

A Cuboid Detection and Tracking System using A Multi RGBD Camera Setup for Intelligent Manipulation and Logistics.

Haohao Hu, Fabian Immel, Johannes Janosovits, Martin Lauer, Christoph Stiller

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Continuous Fusion of IMU and Pose Data using Uniform B-Spline.

Haohao Hu, Johannes Beck, Martin Lauer, Christoph Stiller

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

Learned Enrichment of Top-View Grid Maps Improves Object Detection.

Sascha Wirges, Ye Yang, Sven Richter, Haohao Hu, Christoph Stiller

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

ViPNet: An End-to-End 6D Visual Camera Pose Regression Network.

Haohao Hu, Aoran Wang, Marc Sons, Martin Lauer

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Accurate Global Trajectory Alignment using Poles and Road Markings.

Haohao Hu, Marc Sons, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Localization in Aerial Imagery with Grid Maps using LocGAN.

Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

A Best Match KNN-based Approach for Large-scale Product Categorization.

Haohao Hu, Runjie Zhu, Yuqi Wang, Wenying Feng, Xing Tan, Jimmy Xiangji Huang

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps.

Jannik Quehl, Haohao Hu, Sascha Wirges, Martin Lauer

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

How good is my prediction? Finding a similarity measure for trajectory prediction evaluation.

Jannik Quehl, Haohao Hu, Ömer Sahin Tas, Eike Rehder, Martin Lauer

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017