most citedDirect Monocular Odometry Using Points and Lines

7 citations · 12 across the 3 of their papers we have counts for

collaborators

6 papers

cs.RO2018

Monocular and Stereo Cues for Landing Zone Evaluation for Micro UAVs

Rohit Garg, Shichao Yang, Sebastian Scherer

Autonomous and safe landing is important for unmanned aerial vehicles. We present a monocular and stereo image based method for fast and accurate landing zone evaluation for UAVs i…

cs.RO2018

Monocular Object and Plane SLAM in Structured Environments

Shichao Yang, Sebastian Scherer

In this paper, we present a monocular Simultaneous Localization and Mapping (SLAM) algorithm using high-level object and plane landmarks. The built map is denser, more compact and…

cs.RO2018

CubeSLAM: Monocular 3D Object SLAM

Shichao Yang, Sebastian Scherer

We present a method for single image 3D cuboid object detection and multi-view object SLAM in both static and dynamic environments, and demonstrate that the two parts can improve e…

cs.CV20175 cited

Semantic 3D Occupancy Mapping through Efficient High Order CRFs

Shichao Yang, Yulan Huang, Sebastian Scherer

Semantic 3D mapping can be used for many applications such as robot navigation and virtual interaction. In recent years, there has been great progress in semantic segmentation and…

cs.CV2017

Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments

Shichao Yang, Yu Song, Michael Kaess +1

Existing simultaneous localization and mapping (SLAM) algorithms are not robust in challenging low-texture environments because there are only few salient features. The resulting s…

cs.CV20177 cited

Direct Monocular Odometry Using Points and Lines

Shichao Yang, Sebastian Scherer

Most visual odometry algorithm for a monocular camera focuses on points, either by feature matching, or direct alignment of pixel intensity, while ignoring a common but important g…