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members:wangr [2018/10/06 08:15] Rui Wang |
members:wangr [2019/10/09 09:37] Rui Wang |
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==== News ==== | ==== News ==== | ||
- | * Oct 05 2018: The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! Please visit the [[https:// | + | * [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! Please visit the [[https:// |
- | * Jul 05 2018: We have one paper accepted by ECCV' | + | * [07.2018] We have one paper accepted by ECCV' |
- | * Jun - Dec 2018: I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. | + | * [06-12.2018] I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. |
- | * May 22 2018: We have released our code for online photometric calibration! Please find the link on the [[https:// | + | * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https:// |
- | + | * [03.2018] I join [[https:// | |
- | * Mar 2018: I join [[https:// | + | |
==== Brief Bio ==== | ==== Brief Bio ==== | ||
I received my Bachelor' | I received my Bachelor' | ||
- | From 2014 to 2016 I worked as a computer vision algorithm developer for advanced driver assistance systems (ADAS) at Continental. Since March 2016 I am a PhD student in the Computer Vision Group at the Technical University of Munich, headed by Professor **Daniel Cremers**. My research interests include visual SLAM and visual 3D reconstruction, | + | From 2014 to 2016 I worked as a computer vision algorithm developer for advanced driver assistance systems (ADAS) at Continental. Since March 2016 I am a PhD student in the Computer Vision Group at the Technical University of Munich, headed by Professor **Daniel Cremers**. In 2018 I join [[https:// |
Find me on [[https:// | Find me on [[https:// | ||
- | | + | |
==== Research Interests ==== | ==== Research Interests ==== | ||
- | === Visual | + | === Semantic VO / SLAM === |
+ | |||
+ | * ** Direct Shape ** This video shows the basic idea and some results of our paper " | ||
+ | < | ||
+ | < | ||
+ | |||
+ | === Classic VO / SLAM === | ||
* ** Stereo DSO ** This video shows some results of our paper " | * ** Stereo DSO ** This video shows some results of our paper " | ||
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* ** SLAM extension to Stereo DSO ** After the ICCV 2017 deadline, we extended our method to a SLAM system with additional components for map maintenance, | * ** SLAM extension to Stereo DSO ** After the ICCV 2017 deadline, we extended our method to a SLAM system with additional components for map maintenance, | ||
< | < | ||
+ | < | ||
+ | |||
+ | * ** LDSO: Direct Sparse Odometry with Loop Closure ** In this project we integrate feature points into DSO to improve the repeatability of the sampled points, enabling loop closure candidate detection using BoW and loop closure based on pose graph optimization. For more details and access to the code, please visit the [[https:// | ||
+ | < | ||
+ | src=" | ||
+ | </ | ||
< | < | ||
=== Deep Learning Boosted VO / SLAM === | === Deep Learning Boosted VO / SLAM === | ||
- | * ** Deep Virtual Stereo Odometry (DVSO) ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[: | + | * ** Deep Virtual Stereo Odometry (DVSO) ** In this project we design a novel deep network and train it in a semi-supervised way to predict depth map from single image, and integrate the depth map into DSO as virtual stereo measurement. Being a monocular VO approach, DVSO achieves comparable performance to the state-of-the-art stereo methods. ([[https:// |
< | < | ||
src=" | src=" | ||
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* Summer Semester 2017 [[teaching: | * Summer Semester 2017 [[teaching: | ||
* Winter Semester 2017/18 [[teaching: | * Winter Semester 2017/18 [[teaching: | ||
+ | |||
+ | ==== Service ==== | ||
+ | * Conference reviewer: CVPR, ICCV, ICRA, IROS | ||
+ | * Journal reviewer: RA-L, T-RO | ||
==== Publications ==== | ==== Publications ==== |