18184163. METHOD AND APPARATUS WITH LANE LINE DETERMINATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 METHOD AND APPARATUS WITH LANE LINE DETERMINATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH LANE LINE DETERMINATION - 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 AND APPARATUS WITH LANE LINE DETERMINATION
Organization Name
Inventor(s)
Yonggonjong Park of Suwon-si (KR)
METHOD AND APPARATUS WITH LANE LINE DETERMINATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18184163 titled 'METHOD AND APPARATUS WITH LANE LINE DETERMINATION
Simplified Explanation
The abstract describes a processor-implemented method for determining lane line information by analyzing road feature information from an input image, matching it to lane lines on a driving road, detecting changes in road structure, and determining lane line information based on the detected changes.
- Determining lane line information from road feature information in an input image
- Matching road feature information to lane lines on a driving road
- Detecting changes in road structure such as changes in lane lines, loss of lane lines, or changes in road signs
- Determining lane line information based on detected changes and information on surrounding objects
Potential Applications
This technology could be applied in autonomous vehicles for real-time lane detection and road structure analysis. It could also be used in advanced driver assistance systems to improve lane keeping and road sign recognition.
Problems Solved
This technology helps in detecting changes in road structure, which can improve road safety by alerting drivers to lane line changes or road sign modifications. It also enhances lane detection accuracy, which is crucial for autonomous driving systems.
Benefits
The benefits of this technology include improved road safety, enhanced lane detection accuracy, and better road structure analysis. It can contribute to the development of more reliable autonomous driving systems and advanced driver assistance features.
Potential Commercial Applications
Potential commercial applications of this technology include integration into autonomous vehicles, advanced driver assistance systems, and road maintenance vehicles. The technology could also be used in traffic management systems to monitor road conditions and detect changes in real-time.
Possible Prior Art
One possible prior art could be existing lane detection systems in autonomous vehicles or driver assistance systems that use image processing to analyze road features and determine lane information. Another could be road monitoring systems used by transportation departments to track road conditions and changes in road structure.
Unanswered Questions
How does this technology handle adverse weather conditions?
The abstract does not mention how the method adapts to adverse weather conditions such as rain, snow, or fog, which can affect lane detection accuracy and road feature analysis.
What is the computational complexity of this method?
The abstract does not provide information on the computational resources required for implementing this method, which could be crucial for real-time applications in autonomous vehicles or driver assistance systems.
Original Abstract Submitted
A processor-implemented method with lane line determination includes: determining, from an input image, road feature information comprising a surrounding object and a road surface marking comprising a lane line; matching the road feature information to lane lines of a driving road on which a vehicle is driving; detecting whether there is a change in a road structure based on a result of the matching, wherein the change in the road structure comprises any one or any combination of any two or more of a change of the lane line, a loss of the lane line, and a change of a road sign; and based on whether the change in the road structure is detected, determining lane line information of the driving road by using information on the surrounding object.
