TORC Robotics, Inc. (20240353244). PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS simplified abstract
Contents
- 1 PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Automated Vehicle Sensor Calibration System
- 1.13 Original Abstract Submitted
PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS
Organization Name
Inventor(s)
Joseph Fox-rabinovitz of Austin TX (US)
Robert Holt of Blacksburg VA (US)
Alexander Little of Blacksburg VA (US)
Matthew Marti of Blacksburg VA (US)
Dietrich Linde of Blacksburg VA (US)
PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240353244 titled 'PRECISION MULTI-POINT SENSOR POSITION AND ATTITUDE CALIBRATION BRACKETS
Simplified Explanation
The patent application describes a system for calibrating sensors of automated vehicles using calibration targets attached to the vehicle. The targets reflect signals back to a theodolite for calibration.
- A bracket holds calibration targets and attaches to the automated vehicle near the sensor being calibrated.
- Different brackets are used for different sensors, such as a two-target bracket for GNSS antennas and a three-target bracket for IMUs.
- Calibration targets have retroreflective surfaces that reflect signals back to the theodolite for calibration.
Key Features and Innovation
- Use of calibration targets attached to automated vehicles for sensor calibration.
- Different brackets for different sensors to ensure accurate calibration.
- Retroreflective surfaces on calibration targets for efficient signal reflection.
Potential Applications
This technology can be used in the calibration of sensors in various automated vehicles, such as self-driving cars, drones, and robots.
Problems Solved
- Ensures accurate calibration of sensors in automated vehicles.
- Provides a simple and efficient method for sensor calibration.
Benefits
- Improved accuracy of sensor data in automated vehicles.
- Streamlined calibration process for sensors.
- Enhanced performance and reliability of automated vehicles.
Commercial Applications
Title: Automated Vehicle Sensor Calibration System This technology can be utilized by companies developing automated vehicles to ensure the accuracy and reliability of sensor data, leading to safer and more efficient autonomous systems. It can also be used by calibration service providers for automated vehicle fleets.
Prior Art
Readers can explore prior art related to sensor calibration systems in automated vehicles, including research papers, patents, and industry publications.
Frequently Updated Research
Researchers are constantly working on improving sensor calibration techniques for automated vehicles to enhance their performance and safety.
Questions about Automated Vehicle Sensor Calibration System
How does the system ensure accurate calibration of different sensors in automated vehicles?
The system uses calibration targets with retroreflective surfaces that reflect signals back to a theodolite, allowing for precise calibration of sensors.
What are the potential applications of this technology beyond automated vehicles?
This technology can also be applied to other industries requiring sensor calibration, such as aerospace and robotics.
Original Abstract Submitted
disclosed herein are systems, methods, and apparatuses for calibrating sensors of automated vehicles using calibration targets. a bracket holds the calibration targets and attaches to the automated vehicle proximate to a sensor being calibrated. for some sensors, such as gnss antennas or similar device for receiving location data from a gnss, a two-target bracket is fixed at the top of the automated vehicle, nearby the gnss antenna. for imus or similar sensors, a three-target bracket is fixed at location of the automated vehicle proximate to the particular imu, such as a passenger cabin or on the chassis of the automated vehicle. the calibration targets include a retroreflective surface that reflect signals, such as infrared signals, back to a theodolite (or total station). the theodolite or computer includes preprogrammed offset values indicating the relative positions of the sensor being calibrated and each of the calibration targets of the bracket.
