Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
members:wangr [2019/03/20 00:12] Rui Wang |
members:wangr [2019/08/20 15:52] Rui Wang |
| |
Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]], | Find me on [[https://scholar.google.de/citations?user=buN3yw8AAAAJ&hl=en|Google Scholar]], |
[[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]]. | [[https://www.linkedin.com/in/rui-wang-5367398a|LinkedIn]], [[https://www.strava.com/athletes/22551758|Strava]]. |
| |
==== Research Interests ==== | ==== Research Interests ==== |
| |
=== Visual Odometry / SLAM === | === Semantic VO / SLAM === |
| |
| * ** Direct Shape ** This video shows the basic idea and some results of our paper "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation". In this work, we estimate the 3D poses and shapes of cars based on a single stereo image pair. ** Note that the point clouds in the video are only for visualization purpose, they are not used in our method. ** For more details please refer to the paper [[https://arxiv.org/abs/1904.10097|arXiv]] and the [[https://vision.in.tum.de/research/vslam/direct-shape|project page]] |
| <html><center><iframe width="640" height="360" src="https://www.youtube.com/embed/QqP6zdx5OKw" frameborder="0" allowfullscreen></iframe></center></html> |
| <html><br /></html> |
| |
| === Classic VO / SLAM === |
| |
* ** Stereo DSO ** This video shows some results of our paper "Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras" accepted by ICCV 2017. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) | * ** Stereo DSO ** This video shows some results of our paper "Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras" accepted by ICCV 2017. ([[https://vision.in.tum.de/research/vslam/stereo-dso|Project Page]]) |
<html><br /></html> | <html><br /></html> |
| |
* ** 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://vision.in.tum.de/research/vslam/ldso|Project Page]]. | * ** 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://vision.in.tum.de/research/vslam/ldso|Project Page]]. |
<html><center><iframe width="640" height="360" | <html><center><iframe width="640" height="360" |
src="https://www.youtube.com/embed/LEvOSzyZUvc" frameborder="0" allowfullscreen></iframe> | src="https://www.youtube.com/embed/LEvOSzyZUvc" frameborder="0" allowfullscreen></iframe> |
* Summer Semester 2017 [[teaching:ss2017:mvg2017|Computer Vision II: Multiple View Geometry (IN2228)]] <html><span style="color:black;">Best Elective Lecture Award</span></html> | * Summer Semester 2017 [[teaching:ss2017:mvg2017|Computer Vision II: Multiple View Geometry (IN2228)]] <html><span style="color:black;">Best Elective Lecture Award</span></html> |
* Winter Semester 2017/18 [[teaching:ws2017:r3dv|Robotic 3D Vision]] | * Winter Semester 2017/18 [[teaching:ws2017:r3dv|Robotic 3D Vision]] |
| |
| ==== Service ==== |
| Reviewer: CVPR, ICCV, ICRA, IROS, RA-L |
| |
==== Publications ==== | ==== Publications ==== |