Gm global technology operations llc (20240312059). ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT simplified abstract
Contents
ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT
Organization Name
gm global technology operations llc
Inventor(s)
Yousef A. Omar of Troy MI (US)
Hongtao Wang of Madison Heights MI (US)
Wende Zhang of Birmingham MI (US)
ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312059 titled 'ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT
The patent application describes a method for sensor alignment, which involves detecting a depth point cloud with multiple objects, generating control points based on the locations of these objects, capturing images of different fields of view, and calculating reprojection errors to determine the extrinsic parameters of the sensor.
- The method involves detecting multiple objects within a depth point cloud.
- Control points are generated based on the locations of these objects.
- Images of different fields of view are captured to further refine the alignment process.
- Reprojection errors are calculated to determine the extrinsic parameters of the sensor.
- The extrinsic parameters are adjusted based on the reprojection errors to improve sensor alignment.
Potential Applications: - This technology can be used in robotics for accurate object detection and localization. - It can be applied in augmented reality systems to improve the alignment of virtual objects with the real world. - Sensor alignment in autonomous vehicles can benefit from this method to enhance perception accuracy.
Problems Solved: - Ensures precise alignment of sensors for accurate data collection and analysis. - Improves the overall performance of systems relying on sensor data. - Enhances the reliability and efficiency of object detection algorithms.
Benefits: - Increased accuracy in object detection and localization. - Improved alignment of virtual and real-world objects in augmented reality applications. - Enhanced safety and performance in autonomous vehicles and robotics.
Commercial Applications: Title: Advanced Sensor Alignment Technology for Robotics and Autonomous Systems This technology can be commercialized in industries such as robotics, autonomous vehicles, augmented reality, and surveillance systems. It offers a competitive advantage by providing precise sensor alignment for improved performance and reliability.
Questions about Sensor Alignment Technology: 1. How does this method improve the accuracy of object detection in robotics and autonomous systems? 2. What are the potential cost-saving benefits of implementing this sensor alignment technology in industrial applications?
Original Abstract Submitted
method for sensor alignment including detecting a depth point cloud including a first object and a second object, generating a first control point in response to a location of the first object within the depth point cloud and a second control point in response to a location of the second object within the depth point cloud, capturing an image of a second field of view including a third object, generating a third control point in response to a location of the third object detected in response to the image, calculating a first reprojection error in response to the first control point and the third control point and a second reprojection error in response to the second control point and the third control point, generating an extrinsic parameter in response to the first reprojection error in response to the first reprojection error being less than the second reprojection error.
