Tesla, inc. (20240127599). ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA simplified abstract
Contents
- 1 ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA - 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
ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA
Organization Name
Inventor(s)
James Anthony Musk of San Francisco CA (US)
Swupnil Kumar Sahai of Saratoga CA (US)
Ashok Kumar Elluswamy of Sunnyvale CA (US)
ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127599 titled 'ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA
Simplified Explanation
The patent application describes a system where processors receive image data from a vehicle camera to identify the distance of an object from the vehicle using a trained machine learning model trained with a training image and output from a distance sensor.
- Processors coupled to memory
- Receive image data from a vehicle camera
- Utilize image data as input to a trained machine learning model
- Identify distance of an object from the vehicle
- Trained machine learning model trained with a training image and output from a distance sensor
Potential Applications
This technology could be applied in:
- Autonomous vehicles
- Advanced driver-assistance systems (ADAS)
- Traffic monitoring systems
Problems Solved
This technology helps in:
- Improving object detection accuracy
- Enhancing vehicle safety
- Providing real-time distance information
Benefits
The benefits of this technology include:
- Increased road safety
- Enhanced driving experience
- Improved efficiency in traffic management
Potential Commercial Applications
This technology could be commercially applied in:
- Automotive industry
- Transportation and logistics sector
- Surveillance and security systems
Possible Prior Art
One possible prior art for this technology could be the use of traditional distance sensors in vehicles for object detection and collision avoidance.
Unanswered Questions
How does the system handle varying lighting conditions during image capture?
The patent application does not specify how the system adjusts for different lighting conditions that may affect image data accuracy.
What is the processing time required for the system to identify the distance of an object?
The patent application does not mention the processing time needed for the system to analyze the image data and determine the distance of an object.
Original Abstract Submitted
a system is comprised of one or more processors coupled to memory. the one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. the trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.
