Qualcomm incorporated (20240221384). 360 DEGREE DENSE ASYMMETRIC STEREO DEPTH USING NEAR AND FAR FIELD CAMERAS simplified abstract
Contents
360 DEGREE DENSE ASYMMETRIC STEREO DEPTH USING NEAR AND FAR FIELD CAMERAS
Organization Name
Inventor(s)
Louis Joseph Kerofsky of San Diego CA (US)
Senthil Kumar Yogamani of Headford (IE)
Madhumitha Sakthi of San Diego CA (US)
360 DEGREE DENSE ASYMMETRIC STEREO DEPTH USING NEAR AND FAR FIELD CAMERAS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240221384 titled '360 DEGREE DENSE ASYMMETRIC STEREO DEPTH USING NEAR AND FAR FIELD CAMERAS
- Simplified Explanation:**
The patent application discusses systems, methods, and devices for vehicle driving assistance systems that utilize image processing. The method involves receiving image data from two cameras with different lens types, overlapping their fields of view, determining a point in space, and calculating the distance between the cameras and the point based on their lens types.
- Key Features and Innovation:**
- Utilizes image processing for vehicle driving assistance systems
- Integrates data from cameras with different lens types
- Calculates distances based on lens types for accurate spatial information
- Potential Applications:**
This technology can be applied in:
- Advanced driver assistance systems
- Autonomous vehicles
- Traffic monitoring and management
- Problems Solved:**
- Enhances spatial awareness for vehicles
- Improves accuracy of distance calculations
- Supports advanced driving assistance features
- Benefits:**
- Increased safety on the roads
- Enhanced precision in vehicle positioning
- Improved efficiency in driving assistance systems
- Commercial Applications:**
Potential commercial uses include:
- Automotive industry for vehicle safety features
- Transportation sector for fleet management
- Technology companies developing autonomous driving solutions
- Prior Art:**
Readers can explore prior art related to image processing in vehicle systems, lens types in camera technology, and distance calculation methods in spatial analysis.
- Frequently Updated Research:**
Stay informed about the latest advancements in image processing for vehicle driving assistance systems, lens technology improvements, and spatial analysis techniques.
- Questions about Image Processing in Vehicle Driving Assistance Systems:**
1. How does the integration of data from cameras with different lens types improve spatial awareness in vehicles? 2. What are the potential challenges in accurately calculating distances based on lens types in image processing for driving assistance systems?
Original Abstract Submitted
this disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. in a first aspect, a method of image processing includes receiving first and second image data from first and second cameras having different lens types. a first field of view of the second image data overlaps at least a portion of a second field of view of the first image data. the method further includes determining a point in space based on the first image data and the second image data and calculating a distance between the first camera and the point in space based on the lens type of the first camera and the lens type of the second camera. other aspects and features are also claimed and described.
