Qualcomm incorporated (20240249530). OCCLUSION RESOLVING GATED MECHANISM FOR SENSOR FUSION simplified abstract
Contents
OCCLUSION RESOLVING GATED MECHANISM FOR SENSOR FUSION
Organization Name
Inventor(s)
Varun Ravi Kumar of San Diego CA (US)
Senthil Kumar Yogamani of Headford (IE)
Shubhankar Mangesh Borse of San Diego CA (US)
OCCLUSION RESOLVING GATED MECHANISM FOR SENSOR FUSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240249530 titled 'OCCLUSION RESOLVING GATED MECHANISM FOR SENSOR FUSION
Simplified Explanation: The patent application describes techniques and systems for processing sensor data to identify and differentiate objects in an environment.
- Obtaining sensor data of an environment with objects.
- Generating estimated segment data from the sensor data.
- Matching points associated with objects to corresponding segments.
- Deemphasizing points associated with other objects based on matching results.
Key Features and Innovation:
- Processing sensor data to identify and differentiate objects.
- Generating estimated segment data to represent objects in the environment.
- Matching points to segments for accurate object recognition.
- Deemphasizing points associated with non-matching objects.
Potential Applications: This technology can be used in various fields such as autonomous vehicles, surveillance systems, and robotics for object detection and tracking.
Problems Solved: The technology addresses the challenge of accurately identifying and differentiating objects in sensor data, especially in complex environments with occlusions.
Benefits:
- Improved object recognition accuracy.
- Enhanced tracking capabilities.
- Increased efficiency in processing sensor data.
Commercial Applications: Potential commercial applications include autonomous driving systems, security surveillance, and industrial automation for improved object detection and tracking.
Prior Art: Readers can explore prior research in computer vision, object recognition, and sensor data processing to understand the background of this technology.
Frequently Updated Research: Stay updated on advancements in sensor technology, computer vision algorithms, and object recognition systems to enhance the capabilities of this technology.
Questions about Sensor Data Processing: 1. How does this technology improve object recognition accuracy in complex environments? 2. What are the potential commercial applications of this sensor data processing technology?
Original Abstract Submitted
techniques and systems are provided for processing sensor data. for instance a process can include obtaining first sensor data of an environment, wherein the first sensor data includes a representation of a first object occluding a second object, obtaining second sensor data of the environment, wherein the second sensor data includes points associated with the first object and points associated with the second object, generating estimated segment data from the first sensor data, wherein the estimated segment data includes a first segment corresponding to the first object; matching points associated with the first object to the first segment, and deemphasizing points associated with the second object based on matching the points associated with the first object to the first segment.
