View source for 20240027622. METHOD AND A PROCESSING UNIT FOR RECONSTRUCTING THE SURFACE TOPOLOGY OF A GROUND SURFACE IN AN ENVIRONMENT OF A MOTOR VEHICLE AND MOTOR VEHICLE COMPRISING SUCH A PROCESSING UNIT simplified abstract (ARGO AI GMBH)

=METHOD AND A PROCESSING UNIT FOR RECONSTRUCTING THE SURFACE TOPOLOGY OF A GROUND SURFACE IN AN ENVIRONMENT OF A MOTOR VEHICLE AND MOTOR VEHICLE COMPRISING SUCH A PROCESSING UNIT=


==Organization Name==

[[:Category:ARGO AI GMBH|ARGO AI GMBH]]


[[Category:ARGO AI GMBH]]

==Inventor(s)==

[[:Category:Francesco Ferroni of Munich (DE)|Francesco Ferroni of Munich (DE)]][[Category:Francesco Ferroni of Munich (DE)]]

[[:Category:Ohad Menashe of Munich (DE)|Ohad Menashe of Munich (DE)]][[Category:Ohad Menashe of Munich (DE)]]

==METHOD AND A PROCESSING UNIT FOR RECONSTRUCTING THE SURFACE TOPOLOGY OF A GROUND SURFACE IN AN ENVIRONMENT OF A MOTOR VEHICLE AND MOTOR VEHICLE COMPRISING SUCH A PROCESSING UNIT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240027622 titled 'METHOD AND A PROCESSING UNIT FOR RECONSTRUCTING THE SURFACE TOPOLOGY OF A GROUND SURFACE IN AN ENVIRONMENT OF A MOTOR VEHICLE AND MOTOR VEHICLE COMPRISING SUCH A PROCESSING UNIT

==Simplified Explanation==

The abstract describes a method for reconstructing the surface topology of a ground surface using lidar sensor scan data in the environment of a vehicle. The method involves dividing the environment into grid cells and defining a virtual horizontal grid. Each grid cell contains a local tile, which is determined based on the coordinates of the measurement points within the cell. The local tile is classified as belonging to the ground surface based on reference surface data. The height value of the measurement points in each grid cell is recalculated as the vertical distance above the ground surface.

* The method uses lidar sensor scan data to reconstruct the surface topology of a ground surface.
* The environment is divided into grid cells, and a virtual horizontal grid is defined.
* Each grid cell contains a local tile, determined based on the coordinates of measurement points within the cell.
* The local tile is classified as belonging to the ground surface based on reference surface data.
* The height value of the measurement points in each grid cell is recalculated as the vertical distance above the ground surface.

Potential applications of this technology:

* Autonomous vehicles: This method can be used to accurately map the ground surface in the environment of autonomous vehicles, aiding in navigation and obstacle avoidance.
* Construction and surveying: The reconstructed surface topology can be used in construction and surveying applications to ensure accurate measurements and planning.
* Environmental monitoring: The method can be applied in environmental monitoring to track changes in ground surface elevation and detect potential hazards.

Problems solved by this technology:

* Accurate surface topology reconstruction: The method provides a reliable way to reconstruct the ground surface topology using lidar sensor scan data, which can be challenging in complex environments.
* Ground surface identification: By classifying the local tiles as belonging to the ground surface, the method helps in distinguishing between different surfaces and objects in the environment.

Benefits of this technology:

* Improved navigation and safety: Accurate reconstruction of the ground surface topology can enhance the navigation capabilities of autonomous vehicles and improve safety by enabling better obstacle detection.
* Efficient construction and surveying: The method allows for precise measurements and planning in construction and surveying applications, leading to more efficient and accurate results.
* Enhanced environmental monitoring: By monitoring changes in ground surface elevation, this technology can contribute to early detection of potential hazards and aid in environmental management.


==Original Abstract Submitted==

a method for reconstructing surface topology of a ground surface in an environment of a vehicle. the reconstruction is based on lidar sensor scan data. a virtual horizontal grid is defined for dividing the environment into distinct grid cells. in each grid cell, a local tile is defined as a function of coordinates of those measurement points that are contained in the respective grid cell. the respective local tile of each individual grid cell is classified as belonging to the ground surface based on reference surface data that identifies the respective local tile of at least one grid cell as a ground surface tile. for at least some grid cells, a respective height value of the measurement points in that grid cell is re-calculated as being the vertical distance of the respective measurement point above the ground surface, as it is defined by the identified ground surface tiles.



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