18417209. METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS simplified abstract (Robert Bosch GmbH)
Contents
- 1 METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS - 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 Lane Detection Technology
- 1.13 Original Abstract Submitted
METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS
Organization Name
Inventor(s)
Azhar Sultan of Tunbridge Wells (GB)
Tamas Kapelner of Hildesheim (DE)
METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18417209 titled 'METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS
Simplified Explanation
The method described in the patent application involves capturing an image of a road, dividing it into cells, and analyzing predefined lines within these cells to recognize horizontal road markings and determine their course.
- The image of the road is divided into vertically superimposed cells.
- Predefined lines within each cell are analyzed for the presence of road markings.
- Probability values and displacement values are calculated for each line to determine the course of the road marking.
Key Features and Innovation
- Image analysis to recognize horizontal road markings.
- Division of the image into cells for detailed analysis.
- Calculation of probability values and displacement values for accurate determination of road marking course.
Potential Applications
This technology can be used in:
- Autonomous vehicles for lane detection.
- Road maintenance to identify worn-out markings.
- Traffic management systems for better lane guidance.
Problems Solved
- Accurate recognition of horizontal road markings.
- Precise determination of the course of road markings.
- Enhanced safety on roads through improved lane detection.
Benefits
- Improved road safety.
- Efficient lane detection.
- Enhanced traffic management.
Commercial Applications
Title: Advanced Lane Detection Technology for Autonomous Vehicles This technology can be utilized in autonomous vehicles for precise lane detection, leading to safer and more efficient navigation. It can also be integrated into road maintenance systems for better upkeep of road markings, ensuring optimal traffic flow.
Prior Art
Readers interested in prior art related to this technology can explore research papers on image processing for road marking recognition and lane detection systems in autonomous vehicles.
Frequently Updated Research
Researchers are continually working on improving image analysis algorithms for better recognition of road markings and more accurate determination of their course.
Questions about Lane Detection Technology
How does this technology contribute to road safety?
This technology enhances road safety by accurately detecting lane markings, reducing the risk of lane departure accidents.
What are the potential challenges in implementing this technology in real-world scenarios?
One potential challenge could be the need for robust algorithms to handle varying road conditions and lighting situations.
Original Abstract Submitted
A method for recognizing horizontal road markings and determining the course thereof. The method includes the steps of capturing an image of a road, and dividing a central region of the image into a plurality of vertically superimposed cells and assigning to each cell predefined lines that are variously aligned around a horizontal direction. In a further step, at least one probability value for the presence of a road marking and displacement values of the line to the road marking are calculated for each line of each cell. The probability values and the displacement values are subsequently entered into a calculation function, and at least one line is output. The course of the horizontal road marking is determined from the at least one line and the displacement values.
