Robert bosch gmbh (20240249535). METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS simplified abstract
Contents
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 20240249535 titled 'METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS
The method described in the patent application involves recognizing horizontal road markings and determining their course using image processing techniques.
- Capturing an image of a road
- Dividing the central region of the image into vertically superimposed cells
- Assigning predefined lines to each cell, aligned around a horizontal direction
- Calculating probability values for the presence of road markings and displacement values of the lines
- Entering probability values and displacement values into a calculation function
- Outputting at least one line to determine the course of the horizontal road marking
Potential Applications: - Automated road marking detection systems for autonomous vehicles - Traffic sign recognition technology for smart transportation systems
Problems Solved: - Enhances road safety by accurately identifying road markings - Improves navigation systems by providing precise information on road layouts
Benefits: - Increases the efficiency of autonomous driving systems - Reduces the risk of accidents by ensuring accurate road marking detection
Commercial Applications: Title: Automated Road Marking Detection System for Autonomous Vehicles This technology can be utilized by companies developing autonomous vehicles to enhance their navigation capabilities and improve road safety.
Questions about the technology: 1. How does this method improve the accuracy of road marking detection? 2. What are the potential challenges in implementing this technology in real-world scenarios?
Frequently Updated Research: Researchers are constantly working on improving the accuracy and speed of road marking detection algorithms to enhance the performance of autonomous vehicles.
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.
