18336860. DETERMINING LANE ASSOCIATIONS BASED ON IMAGES simplified abstract (QUALCOMM Incorporated)
Contents
- 1 DETERMINING LANE ASSOCIATIONS BASED ON IMAGES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETERMINING LANE ASSOCIATIONS BASED ON IMAGES - 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 How does this technology handle occlusions in the image data?
- 1.11 What is the computational overhead of implementing this technology?
- 1.12 Original Abstract Submitted
DETERMINING LANE ASSOCIATIONS BASED ON IMAGES
Organization Name
Inventor(s)
Shivam Agarwal of Sunnyvale CA (US)
Avdhut Joshi of San Marcos CA (US)
Jayakrishnan Unnikrishnan of Bellevue WA (US)
Yoga Y Nadaraajan of Poway CA (US)
Sree Sesha Aravind Vadrevu of San Diego CA (US)
Gautam Sachdeva of San Diego CA (US)
DETERMINING LANE ASSOCIATIONS BASED ON IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18336860 titled 'DETERMINING LANE ASSOCIATIONS BASED ON IMAGES
Simplified Explanation
The patent application describes systems and techniques for determining lane associations of target vehicles using image analysis.
- Obtaining a two-dimensional bounding box defining a position within an image frame associated with a target vehicle.
- Obtaining lane markers defining a position within the image frame associated with at least one lane boundary.
- Associating a lane with the target vehicle based on the relationship between the two-dimensional bounding box and the lane markers.
Potential Applications
This technology could be applied in autonomous vehicles, traffic management systems, and surveillance systems.
Problems Solved
This technology helps in accurately determining the lane associations of target vehicles, which is crucial for various applications such as autonomous driving and traffic monitoring.
Benefits
The benefits of this technology include improved safety on the roads, enhanced traffic flow management, and more efficient surveillance of vehicle movements.
Potential Commercial Applications
- "Enhancing Traffic Management Systems with Lane Association Determination Technology"
Possible Prior Art
One possible prior art could be the use of computer vision techniques for lane detection and vehicle tracking in the field of autonomous driving.
Unanswered Questions
How does this technology handle occlusions in the image data?
The patent application does not provide details on how the system deals with occlusions that may obstruct the view of lane markers or target vehicles.
What is the computational overhead of implementing this technology?
The patent application does not discuss the computational resources required to process the image data and determine lane associations of target vehicles.
Original Abstract Submitted
Systems and techniques are described herein for determining lane associations of target vehicles. For instance, a method for determining lane associations of target vehicles is provided. The method may include obtaining a two-dimensional bounding box defining a position within an image frame that is associated with a target vehicle; obtaining lane markers defining a position within the image frame that is associated with at least one lane boundary; and associating a lane with the target vehicle based on a relationship between the two-dimensional bounding box and the lane markers.
