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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

competitions

2020 COMAP MCM/ICM Contest

Published:

Team was designated Finalist. We analyzed systematically the football matches from provided data for teaming strategies, and extracted the key factors that contributed to positive results of football matches and visualized our findings.

Recommended citation: Shuang Huang$^*$, Yue Pan$^*$ and Haoran Chen$^*$. Supervised by Prof. Jianbin Li.

2019 OpenPOWER+OpenCAPI Heterogeneous Computing Design Contest

Published:

Team won the Second Prize of National Finals. We designed the software and the convolution unit on hardware for computation acceleration, implemented the Meta-Pruning algorithm on Field Programmable Gate Arrays (FPGAs), and achieved an overall 23.5% speed increase of model inferring by using an FPGA+CPU hybrid operation mode.

Recommended citation: Zongyang Tong$^*$, Haoran Chen$^*$ and Jinhao Kuang$^*$. Supervised by Prof. Donghong Zuo.

internships

Towards detection of containers from 3D point clouds for automation of ship-to-shore (STS) cranes

Published:

In this project, we build a fully autonomous perception system for smart container shipping by developing simulation platform for generation of synthetic point clouds, and machine learning algorithm for detection of containers from point clouds.

Recommended citation: Computer Vision and Machine Learning Intern at ABB Corporate Research Center. Supervised by Dr. Bruno Arsenali, Dr. Deran Maas and Dr. Stefano Maranò.

portfolio

projects

System Design and Implementation of a Mecanum Wheel Robot

Published:

In this project, we designed and implemented a platform for a Mecanum wheeled mobile robot, including signal control of hardware units and logical control of ROS nodes with remote display. The system includes SLAM algorithms (gmapping and cartographer). We evaluated the mapping quality for indoor scenes.

Recommended citation: Haoran Chen. Supervised by Prof. Yujiang Zeng.

Large Scale 3D Reconstruction with GPS data

Published:

In this project, we focused on recovering metric when using structure-from-motion, and proposed a GPS-based localization method to improve the retrieval efficiency and optimize large scale scene reconstruction.

Recommended citation: Haoran Chen. Supervised by Silvan Weder and Dr. Mihai Dusmanu.

Learning Temporally Consistent 3D Robot Mapping

Published:

In this project, we developed a 3D GRU fusion layer based on NeuralBlox and proposed an observation memory function with free space encoding to capture temporal changes when mapping in a dynamic environment.

Recommended citation: Weining Ren$^*$, Haoran Chen$^*$. Supervised by Dr. Lukas Schmid and Prof. Jen Jen Chung.

publications

Panoptic Vision-Language Feature Fields

IEEE RA-L, 2023

In this paper, we proposed a open-vocabulary panoptic system based on neural fields for scene understanding. Our method implicitly reconstructs the scene geometry from 2D images and simultaneously gains panoptic informaiton from 2D proposals computed by off-the-shelf 2D networks.

Recommended citation: Haoran Chen, Kenneth Blomqvist, Francesco Milano and Roland Siegwart. "Panoptic Vision-Language Feature Fields." IEEE Robotics and Automation Letters. 2024 https://arxiv.org/abs/2309.05448

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.