Robert bosch gmbh (20240177498). METHOD FOR DETECTING LANE MARKINGS simplified abstract
Contents
- 1 METHOD FOR DETECTING LANE MARKINGS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR DETECTING LANE MARKINGS - 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 DETECTING LANE MARKINGS
Organization Name
Inventor(s)
Maximilian Pittner of Erlangen (DE)
Alexandru Paul Condurache of Renningen (DE)
METHOD FOR DETECTING LANE MARKINGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177498 titled 'METHOD FOR DETECTING LANE MARKINGS
Simplified Explanation
The method described in the abstract is for training a model to detect lane markings using images specific to a vehicle's recording and ground truth data for the lane markings' geometry. The model is trained to create a three-dimensional model of the lane markings based on a continuous curve parameterization.
- Providing images specific to a vehicle's recording by at least one sensor
- Providing ground truth data for the geometry of the lane markings in the images
- Training the model based on the images and ground truth data for three-dimensional modeling of the lane markings' geometry using a continuous curve parameterization
Potential Applications
This technology could be applied in autonomous vehicles, advanced driver assistance systems, and road maintenance.
Problems Solved
This technology helps in accurately detecting and interpreting lane markings, which is crucial for safe driving and navigation.
Benefits
The benefits of this technology include improved road safety, enhanced navigation systems, and increased efficiency in lane detection.
Potential Commercial Applications
Potential commercial applications of this technology include integration into autonomous vehicles, development of advanced driver assistance systems, and implementation in road maintenance equipment.
Possible Prior Art
One possible prior art could be the use of computer vision algorithms for lane detection in vehicles, but the specific method described in the abstract may offer advancements in accuracy and efficiency.
What is the accuracy rate of the model in detecting lane markings based on the provided images and ground truth data?
The abstract does not provide specific information on the accuracy rate of the model in detecting lane markings. Further details or results from testing would be needed to determine the accuracy rate of the model.
How does the continuous curve parameterization improve the three-dimensional modeling of the lane markings' geometry compared to other methods?
The abstract does not elaborate on how the continuous curve parameterization improves the three-dimensional modeling of the lane markings' geometry. Additional information or a comparison with other methods would be necessary to understand the specific advantages of this approach.
Original Abstract Submitted
a method for training a model to detect lane markings. the method includes: providing images that are specific to a recording by at least one sensor of a vehicle, and in which the lane markings are mapped; providing ground truth data specific to a geometry of the lane markings in the provided images; training the model on the basis of the provided images and ground truth data for a three-dimensional modeling of the geometry of the lane markings based on a parameterization of a continuous curve.
