Honda motor co., ltd. (20240102824). MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM simplified abstract
Contents
- 1 MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM - 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
MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM
Organization Name
Inventor(s)
Ryoji Wakayama of Wako-shi (JP)
MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240102824 titled 'MOVING OBJECT, CONTROL METHOD OF MOVING OBJECT, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND MOVING OBJECT CONTROL SYSTEM
Simplified Explanation
The patent application describes a system where a moving object acquires three-dimensional point cloud data in its surroundings and generates a grid map based on this data. The grid map indicates the presence of three-dimensional objects or steps based on point density in each grid.
- Moving object acquires three-dimensional point cloud data
- Generates grid map based on point cloud data
- Maps point clouds to grid on horizontal plane parallel to road surface
- Determines presence of three-dimensional objects based on point density in each grid
Potential Applications
This technology could be used in autonomous vehicles for obstacle detection and navigation, as well as in surveillance systems for monitoring and security purposes.
Problems Solved
This technology solves the problem of accurately detecting and mapping three-dimensional objects or steps in the surroundings of a moving object, which is crucial for safe navigation and obstacle avoidance.
Benefits
The benefits of this technology include improved safety, enhanced navigation capabilities, and more efficient surveillance and monitoring systems.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced driver assistance systems (ADAS) for vehicles, as well as in the security and surveillance industry for perimeter monitoring and intruder detection.
Possible Prior Art
One possible prior art for this technology could be LiDAR systems used in autonomous vehicles for mapping and obstacle detection. Another could be 3D mapping technologies used in surveillance systems for monitoring large areas.
Unanswered Questions
How does this technology handle dynamic environments where objects are constantly moving?
This technology does not address how it handles dynamic environments where objects are in motion. Further research and development may be needed to adapt the system for such scenarios.
What is the impact of weather conditions, such as rain or fog, on the accuracy of the grid map generated by this technology?
The patent application does not mention how weather conditions may affect the accuracy of the grid map. Additional testing and analysis would be necessary to determine the impact of weather on the system's performance.
Original Abstract Submitted
a moving object acquires three-dimensional point cloud data in surroundings of the moving object; and generates a grid map based on the three-dimensional point cloud data, the moving object maps point clouds of the three-dimensional point cloud data to a grid on a horizontal plane parallel to a road surface on which the moving object travels and generates the grid map in which each grid indicates whether a three-dimensional object having a predetermined height or a step exists. the moving object determines, for each grid of the grid map, whether the three-dimensional object exists based on a point density when a point cloud corresponding to each grid of the three-dimensional point cloud data is projected on the horizontal plane.
