Qualcomm incorporated (20240101158). DETERMINING A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE simplified abstract
Contents
- 1 DETERMINING A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETERMINING A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE - 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
DETERMINING A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE
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 A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240101158 titled 'DETERMINING A LOCATION OF A TARGET VEHICLE RELATIVE TO A LANE
Simplified Explanation
The patent application describes systems and techniques for determining the location of a target vehicle relative to a lane. The method involves obtaining the position of the target vehicle and lane boundaries within an image, calculating the distance between the target vehicle and the lane boundary, and adjusting the position of the target vehicle in a map based on this distance.
- Obtaining the position of the target vehicle within an image
- Obtaining the positions of the lane boundaries within the image
- Calculating the distance between the target vehicle and the lane boundary
- Adjusting the position of the target vehicle in a map based on the calculated distance
Potential Applications
This technology could be applied in autonomous driving systems, lane departure warning systems, and advanced driver assistance systems.
Problems Solved
This technology helps in accurately determining the position of a vehicle relative to a lane, which is crucial for safe and efficient driving.
Benefits
The benefits of this technology include improved safety on the roads, enhanced driving assistance, and better navigation systems.
Potential Commercial Applications
Potential commercial applications of this technology include integration into self-driving cars, aftermarket lane departure warning systems, and fleet management solutions.
Possible Prior Art
One possible prior art for this technology could be existing lane departure warning systems that use cameras to detect lane boundaries and the position of the vehicle within the lane.
What are the specific technical details of how the distance between the target vehicle and the lane boundary is calculated in this system?
The specific technical details of how the distance between the target vehicle and the lane boundary is calculated in this system involve image processing algorithms that analyze the positions of the target vehicle and lane boundaries within the image. By using geometric calculations and image recognition techniques, the system can accurately determine the distance between the vehicle and the lane boundary.
How does this technology compare to existing methods for determining the position of a vehicle relative to a lane?
This technology improves upon existing methods by providing a more precise and reliable way to determine the position of a vehicle relative to a lane. By combining image processing, distance calculations, and map adjustments, this system offers a comprehensive solution for accurately locating a vehicle within its lane.
Original Abstract Submitted
systems and techniques are described herein for determining at least one location of at least one target vehicle relative to a lane. for instance, a method for determining at least one location of at least one target vehicle relative to a lane is provided. the method may include obtaining a position of a target vehicle within an image; obtaining one or more positions of a lane boundary within the image; determining a distance between the target vehicle and the lane boundary based on the position of the target vehicle within the image and the one or more positions of the lane boundary within the image; and adjusting a position of the target vehicle in a map based on the distance between the target vehicle and the lane boundary and a position of the lane boundary in the map
