Search Results for author:
Found 6 papers, 1 papers with code
Monocular Object and Plane SLAM in Structured Environments
In this paper, we present a monocular Simultaneous Localization and Mapping (SLAM) algorithm using high-level object and plane landmarks.
CubeSLAM: Monocular 3D Object SLAM
Objects can provide long-range geometric and scale constraints to improve camera pose estimation and reduce monocular drift.
Semantic 3D Occupancy Mapping through Efficient High Order CRFs
In the paper, we propose an incremental and (near) real-time semantic mapping system.
Obstacle Avoidance through Deep Networks based Intermediate Perception
Second, predict the trajectory from the depth and normal.
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments
In this paper, we propose real-time monocular plane SLAM to demonstrate that scene understanding could improve both state estimation and dense mapping especially in low-texture environments.
Direct Monocular Odometry Using Points and Lines
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 geometry entity: edges.
