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members:wangr [2018/08/03 22:37] Rui Wang |
members:wangr [2019/08/20 15:52] Rui Wang |
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==== News ==== | ==== News ==== | ||
- | * Jul 05 2018: We have one paper accepted by ECCV' | + | * [10.2018] The code for LDSO (Direct Sparse Odometry with Loop Closure) has been released! Please visit the [[https:// |
- | * Jun - Dec 2018: I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. | + | * [07.2018] |
- | * May 22 2018: We have released our code for online photometric calibration! Please find the link on the [[https:// | + | * [06-12.2018] I will be interning with Prof. Dieter Fox in the recently founded Nvidia Robotics Research Lab in Seattle. |
- | + | * [05.2018] We have released our code for Online Photometric Calibration! Please find the link on the [[https:// | |
- | * Mar 2018: I join [[https:// | + | * [03.2018] I join [[https:// |
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Find me on [[https:// | Find me on [[https:// | ||
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==== Research Interests ==== | ==== Research Interests ==== | ||
- | === Visual | + | === Semantic VO / SLAM === |
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+ | * ** 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, | ||
< | < | ||
+ | < | ||
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+ | * ** 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. (Project Page coming soon) | + | * ** 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. ([[: |
< | < | ||
src=" | src=" | ||
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* Summer Semester 2017 [[teaching: | * Summer Semester 2017 [[teaching: | ||
* Winter Semester 2017/18 [[teaching: | * Winter Semester 2017/18 [[teaching: | ||
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+ | ==== Service ==== | ||
+ | Reviewer: CVPR, ICCV, ICRA, IROS, RA-L | ||
==== Publications ==== | ==== Publications ==== |