Intel corporation (20240127478). TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION simplified abstract
Contents
- 1 TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION - 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
TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION
Organization Name
Inventor(s)
Soila Kavulya of Hillsboro OR (US)
Rita Chattopadhyay of Chandler AZ (US)
Monica Lucia Martinez-canales of Los Altos CA (US)
TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127478 titled 'TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION
Simplified Explanation
The patent application describes technologies for performing sensor fusion using a compute device to merge detection data from multiple sensors of a host system, such as cameras and lidar, to define final bounding shapes for detected objects.
- The compute device includes circuitry to obtain detection data from multiple sensors.
- The detection data includes camera detection data for images of objects and lidar detection data for object depths.
- The circuitry merges the detection data to define final bounding shapes for the objects.
Potential Applications
This technology can be applied in autonomous vehicles, robotics, surveillance systems, and augmented reality applications.
Problems Solved
This technology solves the problem of accurately detecting and defining the shapes of objects using data from multiple sensors.
Benefits
The benefits of this technology include improved object detection accuracy, enhanced situational awareness, and better decision-making capabilities for autonomous systems.
Potential Commercial Applications
The potential commercial applications of this technology include autonomous driving systems, security and surveillance systems, industrial automation, and virtual reality applications.
Possible Prior Art
One possible prior art for this technology is the use of sensor fusion in robotics and autonomous systems to improve object detection and tracking capabilities.
What are the specific types of sensors used in this technology?
The abstract mentions cameras and lidar as the sensors used in this technology for detecting objects.
How does the compute device merge the detection data from multiple sensors?
The compute device merges the detection data by combining the camera detection data for object images with the lidar detection data for object depths to define final bounding shapes for the objects.
Original Abstract Submitted
technologies for performing sensor fusion include a compute device. the compute device includes circuitry configured to obtain detection data indicative of objects detected by each of multiple sensors of a host system. the detection data includes camera detection data indicative of a two or three dimensional image of detected objects and lidar detection data indicative of depths of detected objects. the circuitry is also configured to merge the detection data from the multiple sensors to define final bounding shapes for the objects.
