18528424. TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION simplified abstract (Intel Corporation)
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 Unanswered Questions
- 1.11 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 18528424 titled 'TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION
Simplified Explanation
The abstract describes a technology for sensor fusion using a compute device to merge detection data from multiple sensors to define final bounding shapes for objects detected by a host system.
- The compute device obtains detection data from multiple sensors, including camera detection data and lidar detection data.
- The detection data includes information about the objects detected, such as images and depths.
- The circuitry in the compute device merges the detection data to create final bounding shapes for the detected objects.
Potential Applications
This technology can be applied in autonomous vehicles, robotics, surveillance systems, and augmented reality applications.
Problems Solved
1. Improved accuracy in object detection and tracking. 2. Enhanced situational awareness for systems using multiple sensors.
Benefits
1. Increased efficiency in processing and analyzing sensor data. 2. Enhanced object recognition capabilities. 3. Improved overall system performance.
Potential Commercial Applications
Optimizing traffic flow, enhancing security systems, improving navigation systems, and advancing virtual reality experiences.
Possible Prior Art
One possible prior art is the use of sensor fusion in autonomous vehicles to improve object detection and tracking capabilities.
Unanswered Questions
How does this technology handle data synchronization between different types of sensors?
The technology described in the abstract does not provide details on how data synchronization is achieved between sensors with varying data outputs.
What are the limitations of this technology in terms of scalability to a larger number of sensors?
The abstract does not address the scalability of the technology to accommodate a larger number of sensors and the potential challenges that may arise in such scenarios.
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.
