Robert bosch gmbh (20240134033). METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY simplified abstract
Contents
- 1 METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY
Organization Name
Inventor(s)
Mughees Ahmad Wyne of Offenbach (DE)
Sebastian Scherer of Tuebingen (DE)
METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134033 titled 'METHOD FOR DETERMINING A MOVEMENT STATE OF A RIGID BODY
Simplified Explanation
The patent application describes a method for determining the movement state of a rigid body relative to its environment using multiple sets of measurement data. The method involves analyzing Doppler velocities, azimuth angles, and measurement times to estimate the body's velocity and angular velocity vectors.
- The method involves analyzing measurement data sets containing Doppler velocities, azimuth angles, and measurement times.
- The movement state of the body is determined as velocity and angular velocity vectors in a body reference system.
- A regression analysis is used to minimize a function dependent on Doppler velocity deviations between estimated and actual Doppler velocities.
Potential Applications
This technology could be applied in various fields such as autonomous navigation systems, robotics, and aerospace engineering.
Problems Solved
This method helps in accurately determining the movement state of a rigid body in relation to its environment, which is crucial for tasks like navigation and control.
Benefits
The method provides a precise way to analyze movement data and can improve the efficiency and accuracy of systems relying on such information.
Potential Commercial Applications
Potential commercial applications include autonomous vehicles, drones, spacecraft, and other systems requiring precise movement tracking.
Possible Prior Art
One possible prior art could be similar methods used in the field of sensor fusion and navigation systems.
What are the limitations of this method in real-world applications?
The method relies heavily on accurate measurement data, and any errors in the input data could lead to inaccuracies in the determination of the body's movement state.
How does this method compare to existing technologies for movement state determination?
This method offers a comprehensive approach by considering multiple sets of measurement data, which can provide a more robust and accurate estimation of the body's movement state compared to traditional methods.
Original Abstract Submitted
a method for determining a movement state of a rigid body relative to an environment using a multiplicity of measurement data sets relating to objects in the environment around the body. each measurement data set includes a measurement time, a doppler velocity, and an azimuth angle in relation to a respective sensor reference system. the method includes determining a movement state of the body relative to the environment as a velocity vector and an angular velocity vector in a body reference system. at least one set of conditions that includes a plurality of measurement data sets is created. a function dependent on doppler velocity deviations between estimated doppler velocities and the doppler velocities of the measurement data sets included in the set of conditions is minimized in a regression analysis for the set of conditions. the estimated doppler velocities are regarded as dependent variables in the regression analysis.
