18601829. APPARATUS AND METHOD FOR DETECTING INDOOR ENVIRONMENT USING UNMANNED MOBILE VEHICLE simplified abstract (Electronics and Telecommunications Research Institute)
Contents
APPARATUS AND METHOD FOR DETECTING INDOOR ENVIRONMENT USING UNMANNED MOBILE VEHICLE
Organization Name
Electronics and Telecommunications Research Institute
Inventor(s)
Sang Yeoun Lee of Daejeon (KR)
Soo Young Jang of Daejeon (KR)
APPARATUS AND METHOD FOR DETECTING INDOOR ENVIRONMENT USING UNMANNED MOBILE VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18601829 titled 'APPARATUS AND METHOD FOR DETECTING INDOOR ENVIRONMENT USING UNMANNED MOBILE VEHICLE
Simplified Explanation: The patent application describes a method for operating an unmanned mobile vehicle to detect an indoor environment using LiDAR and inertial sensors.
- LiDAR sensor and inertial sensor are used to obtain motion information.
- Error models corresponding to the sensors are used to correct the motion information.
- Final position information of the vehicle is determined based on the corrected data.
Key Features and Innovation:
- Utilizes LiDAR sensor and inertial sensor for motion detection.
- Incorporates error models to correct sensor data.
- Provides accurate final position information of the unmanned mobile vehicle.
Potential Applications:
- Indoor mapping and navigation systems.
- Autonomous cleaning robots.
- Inventory management in warehouses.
Problems Solved:
- Accurate indoor environment detection.
- Improved navigation in confined spaces.
- Enhanced efficiency of unmanned mobile vehicles.
Benefits:
- Increased accuracy in indoor mapping.
- Enhanced safety in navigation.
- Improved productivity in various applications.
Commercial Applications: The technology can be applied in industries such as robotics, logistics, and smart home systems to enhance efficiency and accuracy in indoor environments.
Questions about Unmanned Mobile Vehicle Technology: 1. How does the use of LiDAR and inertial sensors improve the accuracy of indoor environment detection? 2. What are the potential challenges in integrating this technology into existing unmanned mobile vehicles?
Frequently Updated Research: Ongoing research in sensor fusion and localization algorithms can further enhance the capabilities of unmanned mobile vehicles in indoor environments.
Original Abstract Submitted
Provided is a method of operating an unmanned mobile vehicle for detecting an indoor environment. The method according to an embodiment of the present disclosure includes obtaining first motion information using a LiDAR sensor provided on the unmanned mobile vehicle, obtaining second motion information using an inertial sensor provided on the unmanned mobile vehicle, performing correction on the first motion information and the second motion information on the basis of error models corresponding to the LiDAR sensor and the inertial sensor, and determining final position information of the unmanned mobile vehicle on the basis of the correction.