Hyundai motor company (20240161481). METHOD AND SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA simplified abstract
Contents
- 1 METHOD AND SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA - 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 SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA
Organization Name
Inventor(s)
Sung Moon Jang of Seongnam-si (KR)
METHOD AND SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161481 titled 'METHOD AND SYSTEM FOR FUSING DATA FROM LIDAR AND CAMERA
Simplified Explanation
The patent application describes a method for fusing lidar and camera data to generate a more comprehensive dataset for various applications.
- The method involves creating a feature map based on point cloud data from a lidar sensor.
- Another feature map is generated based on image data from a camera.
- The 3D coordinates from the lidar data are converted to 2D coordinates using calibration parameters.
- The fused data is produced by combining the pixel data from the camera with the point data from the lidar sensor.
Potential Applications
This technology can be used in autonomous vehicles for improved object detection and scene understanding. It can also be applied in robotics for navigation and mapping tasks.
Problems Solved
This technology addresses the challenge of integrating data from different sensors to provide a more complete and accurate representation of the environment. It also helps in reducing the complexity of data processing and analysis.
Benefits
The fusion of lidar and camera data enhances the capabilities of perception systems, leading to better decision-making and increased safety in various applications. It also enables more efficient and effective data interpretation.
Potential Commercial Applications
This technology has potential applications in the automotive industry, robotics, surveillance systems, and smart city infrastructure development. The section title could be "Commercial Applications of Lidar and Camera Data Fusion Technology".
Possible Prior Art
One example of prior art in this field is the use of sensor fusion techniques in robotics and autonomous systems to improve perception and decision-making capabilities. Another example is the integration of lidar and camera data in mapping and navigation applications.
Unanswered Questions
How does this technology handle occlusions in the environment?
The method described in the patent application does not specifically address how occlusions in the environment are handled when fusing lidar and camera data. This could be a potential limitation in scenarios where objects are partially or fully obstructed from view.
What is the computational overhead of implementing this fusion method?
The patent application does not provide information on the computational resources required to implement the lidar and camera data fusion method. Understanding the computational overhead is crucial for assessing the feasibility of deploying this technology in real-time applications.
Original Abstract Submitted
a lidar and camera data fusion method includes generating a voxel-wise feature map based on point cloud data of a lidar sensor, generating a pixel-wise feature map based on image data of a camera, converting three-dimensional (d) coordinates of point data of the voxel-wise feature map to two-dimensional (d) coordinates, based on at least one predefined calibration parameter, and generating fused data by combining pixel data of the pixel-wise feature map and point data of the d coordinates.
