Jinyu et al., 2019 - Google Patents
Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented realityJinyu et al., 2019
View PDF- Document ID
- 10280707899336525525
- Author
- Jinyu L
- Bangbang Y
- Danpeng C
- Nan W
- Guofeng Z
- Hujun B
- Publication year
- Publication venue
- Virtual Reality & Intelligent Hardware
External Links
Snippet
Although VSLAM/VISLAM has achieved great success, it is still difficult to quantitatively evaluate the localization results of different kinds of SLAM systems from the aspect of augmented reality due to the lack of an appropriate benchmark. For AR applications in …
- 238000011156 evaluation 0 title abstract description 28
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jinyu et al. | Survey and evaluation of monocular visual-inertial SLAM algorithms for augmented reality | |
Almalioglu et al. | SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation | |
Servières et al. | Visual and Visual‐Inertial SLAM: State of the Art, Classification, and Experimental Benchmarking | |
Qin et al. | Vins-mono: A robust and versatile monocular visual-inertial state estimator | |
Dai et al. | Rgb-d slam in dynamic environments using point correlations | |
Forster et al. | SVO: Semidirect visual odometry for monocular and multicamera systems | |
Scaramuzza et al. | Visual-inertial odometry of aerial robots | |
Zhang et al. | Pirvs: An advanced visual-inertial slam system with flexible sensor fusion and hardware co-design | |
Lovegrove et al. | Spline Fusion: A continuous-time representation for visual-inertial fusion with application to rolling shutter cameras. | |
Brachmann et al. | On the limits of pseudo ground truth in visual camera re-localisation | |
Endres et al. | 3-D mapping with an RGB-D camera | |
Herrera et al. | Dt-slam: Deferred triangulation for robust slam | |
US9495761B2 (en) | Environment mapping with automatic motion model selection | |
Solin et al. | PIVO: Probabilistic inertial-visual odometry for occlusion-robust navigation | |
Sharafutdinov et al. | Comparison of modern open-source visual SLAM approaches | |
Huang et al. | 360vo: Visual odometry using a single 360 camera | |
Chu et al. | You are here: Mimicking the human thinking process in reading floor-plans | |
Scaramuzza et al. | Aerial robots, visual-inertial odometry of | |
CN113516692A (en) | Multi-sensor fusion SLAM method and device | |
Giubilato et al. | Scale correct monocular visual odometry using a lidar altimeter | |
Rückert et al. | Snake-SLAM: Efficient global visual inertial SLAM using decoupled nonlinear optimization | |
Ling et al. | Edge alignment-based visual–inertial fusion for tracking of aggressive motions | |
He et al. | Towards robust visual-inertial odometry with multiple non-overlapping monocular cameras | |
Tyagi et al. | DVIO: Depth-aided visual inertial odometry for rgbd sensors | |
Garro et al. | Fast Metric Acquisition with Mobile Devices. |