Kurazume et al., 2017 - Google Patents
Automatic large-scale three dimensional modeling using cooperative multiple robotsKurazume et al., 2017
View HTML- Document ID
- 10404330475716520900
- Author
- Kurazume R
- Oshima S
- Nagakura S
- Jeong Y
- Iwashita Y
- Publication year
- Publication venue
- Computer Vision and Image Understanding
External Links
Snippet
Abstract 3D modeling of real objects by a 3D laser scanner has become popular in many applications, such as reverse engineering of petrochemical plants, civil engineering and construction, and digital preservation of cultural properties. Despite the development of …
- 238000000034 method 0 abstract description 67
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
- G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
-
- 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
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0295—Fleet control by at least one leading vehicle of the fleet
-
- 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
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
- G05D1/028—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using a RF signal
-
- 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
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0225—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving docking at a fixed facility, e.g. base station or loading bay
-
- 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
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/0274—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
-
- 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
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
-
- 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
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2201/00—Application
- G05D2201/02—Control of position of land vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kurazume et al. | Automatic large-scale three dimensional modeling using cooperative multiple robots | |
US20250013237A1 (en) | Swarm path planner system for vehicles | |
Bircher et al. | Receding horizon path planning for 3D exploration and surface inspection | |
US20200301443A1 (en) | Discovery and monitoring of an environment using a plurality of robots | |
US11573575B2 (en) | Attract-repel path planner system for collision avoidance | |
Costante et al. | Exploiting photometric information for planning under uncertainty | |
Pinto et al. | Self-localisation of indoor mobile robots using multi-hypotheses and a matching algorithm | |
Lehner et al. | Exploration with active loop closing: A trade-off between exploration efficiency and map quality | |
Pritzl et al. | Cooperative navigation and guidance of a micro-scale aerial vehicle by an accompanying UAV using 3D LiDAR relative localization | |
CN113778096B (en) | Positioning and model building method and system for indoor robot | |
Vutetakis et al. | An autonomous loop-closure approach for simultaneous exploration and coverage of unknown infrastructure using mavs | |
Sanchez-Rodriguez et al. | A survey on stereo vision-based autonomous navigation for multi-rotor MUAVs | |
Choi et al. | Cellular Communication-Based Autonomous UAV Navigation with Obstacle Avoidance for Unknown Indoor Environments. | |
Hasegawa et al. | Experimental verification of path planning with SLAM | |
US11220006B2 (en) | Digital model rectification | |
Noaman et al. | Landmarks exploration algorithm for mobile robot indoor localization using VISION sensor | |
Rogers et al. | Mapping with a ground robot in GPS denied and degraded environments | |
Marlow et al. | Local terrain mapping for obstacle avoidance using monocular vision | |
Roggeman et al. | Embedded vision-based localization and model predictive control for autonomous exploration | |
Onoguchi et al. | A visual navigation system using a multi-information local map | |
Wagner et al. | Online aerial 2.5 d terrain mapping and active aerial vehicle exploration for ground robot navigation | |
Liu et al. | Visual navigation for UAVs landing on accessory building floor | |
Oshima et al. | Automatic planning of laser measurements for a large-scale environment using CPS-SLAM system | |
Pepe et al. | Autonomous exploration of indoor environments with a micro-aerial vehicle | |
Moleski et al. | Effects of Velocity and Known Pose Injection Rate on Scan Matching 2D SLAM Accuracy |