18426537. METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE simplified abstract (Robert Bosch GmbH)
Contents
- 1 METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE - 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 Questions about Three-Dimensional Road Area Segmentation
- 1.11 Original Abstract Submitted
METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE
Organization Name
Inventor(s)
Andrei-Ovidiu Muntean of Cluj-Napoca (RO)
Istvan Nagy of Cluj-Napoca (RO)
METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18426537 titled 'METHOD FOR A THREE-DIMENSIONAL ROAD AREA SEGMENTATION FOR A VEHICLE
Simplified Explanation
This patent application describes a method for segmenting a three-dimensional road area for a vehicle based on input data representing the environment of the vehicle. The method involves classifying elements into road and elevated surface classes, determining density levels based on the classification results, and identifying road and elevated surfaces in the scene.
- Obtaining input data representing the vehicle's environment, including heights of the scene.
- Classifying elements into road and elevated surface classes based on their heights.
- Determining density levels for elements based on the classification results.
- Identifying road and elevated surfaces in the scene based on the density levels.
Key Features and Innovation
- Three-dimensional road area segmentation based on input data representing the vehicle's environment.
- Classification of elements into road and elevated surface classes.
- Determination of density levels for elements based on classification results.
- Identification of road and elevated surfaces in the scene.
Potential Applications
This technology can be used in autonomous vehicles for accurate road surface detection and navigation. It can also be applied in urban planning and infrastructure development for analyzing road conditions and traffic patterns.
Problems Solved
This technology addresses the challenge of accurately segmenting road areas in three-dimensional environments, improving the efficiency and safety of vehicle navigation systems.
Benefits
- Enhanced accuracy in road surface detection.
- Improved navigation for autonomous vehicles.
- Better analysis of road conditions for urban planning.
Commercial Applications
- Autonomous vehicle navigation systems.
- Urban planning and infrastructure development tools.
- Traffic management and road maintenance applications.
Questions about Three-Dimensional Road Area Segmentation
What are the key benefits of using three-dimensional road area segmentation in autonomous vehicles?
Three-dimensional road area segmentation in autonomous vehicles improves accuracy in road surface detection, leading to safer and more efficient navigation.
How does the classification of elements into road and elevated surface classes help in identifying road and elevated surfaces in the scene?
By classifying elements based on their heights, the system can differentiate between road surfaces and elevated surfaces, enabling accurate segmentation of the road area.
Original Abstract Submitted
A method for a three-dimensional road area segmentation for a vehicle. The method includes: obtaining input data including multiple elements representing a scene of an environment of the vehicle, the input data indicating heights of the scene and resulting at least partially from a sensor detection of the environment; carrying out the three-dimensional road area segmentation based on the input data. The three-dimensional road area segmentation includes: classifying the elements based on the heights into at least a road class and an elevated surface class, thereby providing a classification result for each of the elements; determining a density level for multiple of the elements based on the classification results, the density levels being based on the density of the different classes; identifying at least a road surface and an elevated surface in the scene by forming the surfaces based on the density levels.
