Hodges et al., 2019 - Google Patents
Multistage bayesian autonomy for high‐precision operation in a large fieldHodges et al., 2019
View PDF- Document ID
- 381991816737986668
- Author
- Hodges J
- Attia T
- Arukgoda J
- Kang C
- Cowden M
- Doan L
- Ranasinghe R
- Abdelatty K
- Dissanayake G
- Furukawa T
- Publication year
- Publication venue
- Journal of Field Robotics
External Links
Snippet
This paper presents a generalized multistage bayesian framework to enable an autonomous robot to complete high‐precision operations on a static target in a large field. The proposed framework consists of two multistage approaches, capable of dealing with the complexity of …
- 230000004807 localization 0 abstract description 64
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
-
- 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
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lu | A review of solutions for perspective-n-point problem in camera pose estimation | |
| Kümmerle et al. | Large scale graph-based SLAM using aerial images as prior information | |
| US11536572B2 (en) | Method and system for accurate long term simultaneous localization and mapping with absolute orientation sensing | |
| CN110470333B (en) | Calibration method and device of sensor parameters, storage medium and electronic device | |
| Le et al. | A low‐cost and efficient autonomous row‐following robot for food production in polytunnels | |
| CN109884586A (en) | Ultra-bandwidth-based UAV positioning method, device, system and storage medium | |
| CN110501036A (en) | The calibration inspection method and device of sensor parameters | |
| Deming et al. | Concurrent multi-target localization, data association, and navigation for a swarm of flying sensors | |
| Azzam et al. | A stacked LSTM-based approach for reducing semantic pose estimation error | |
| Simanek et al. | Improving multi-modal data fusion by anomaly detection | |
| Joerger et al. | Integrity of laser-based feature extraction and data association | |
| Meier et al. | Visual‐inertial curve simultaneous localization and mapping: Creating a sparse structured world without feature points | |
| Zhu et al. | Conservative uncertainty estimation in map-based vision-aided navigation | |
| Kostavelis et al. | Learning the terrain and planning a collision-free trajectory for indoor post-disaster environments | |
| Liao et al. | A Real-Time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM | |
| Veronese et al. | A computational geometry approach for localization and tracking in GPS‐denied environments | |
| Noaman et al. | Landmarks exploration algorithm for mobile robot indoor localization using VISION sensor | |
| Hodges et al. | Multistage bayesian autonomy for high‐precision operation in a large field | |
| Shipitko et al. | Edge detection based mobile robot indoor localization | |
| Boucheloukh et al. | UAV navigation based on adaptive fuzzy backstepping controller using visual odometry | |
| Wang et al. | Particle Smoother‐Based Landmark Mapping for the SLAM Method of an Indoor Mobile Robot with a Non‐Gaussian Detection Model | |
| Khan et al. | Multi-sensor SLAM for efficient navigation of a mobile robot | |
| Shimizu et al. | Accuracy improvement of cooperative localization using UAV and UGV | |
| Mahrami et al. | Simultaneous localization and mapping: issues and approaches | |
| Zeki et al. | A Review on Localization Algorithms of Mobile Robot in Different Environments. |