18183423. ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
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 18183423 titled 'ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT
Simplified Explanation: The patent application describes a method for aligning sensors by detecting objects in a depth point cloud and generating control points based on their locations. These control points are used to calculate reprojection errors and determine the extrinsic parameters of the sensors.
- Detect objects in a depth point cloud
- Generate control points based on object locations
- Capture an image to detect another object
- Calculate reprojection errors
- Determine sensor alignment parameters based on errors
Potential Applications: 1. Robotics for object detection and navigation 2. Augmented reality for accurate object placement 3. Autonomous vehicles for improved sensor alignment
Problems Solved: 1. Ensuring accurate sensor alignment 2. Enhancing object detection capabilities 3. Improving overall system performance
Benefits: 1. Increased precision in sensor alignment 2. Enhanced object recognition accuracy 3. Improved efficiency in various applications
Commercial Applications: Title: Sensor Alignment Technology for Robotics and Autonomous Vehicles This technology can be utilized in industries such as robotics, autonomous vehicles, and augmented reality for enhanced performance and accuracy. It can improve object detection, navigation, and overall system efficiency.
Prior Art: Prior art related to this technology may include research on sensor alignment methods, object detection algorithms, and reprojection error calculations in computer vision systems.
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to improve sensor alignment and object detection in various applications. Stay updated on advancements in computer vision and robotics to benefit from the latest innovations.
Questions about Sensor Alignment Technology: 1. How does this technology improve object detection accuracy? 2. What are the potential challenges in implementing this sensor alignment method in real-world 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.
