Tesla, inc. (20240304003). PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING simplified abstract

PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING

Organization Name

tesla, inc.

Inventor(s)

Ashok Kumar Elluswamy of Sunnyvale CA (US)

Matthew Bauch of San Francisco CA (US)

Christopher Payne of San Francisco CA (US)

Andrej Karpathy of San Francisco CA (US)

Dhaval Shroff of San Francisco CA (US)

Arvind Ramanandan of Sunnyvale CA (US)

James Robert Howard Hakewill of Los Gatos CA (US)

PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240304003 titled 'PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING

Simplified Explanation:

The patent application describes a system where a processor connected to memory receives image data from a vehicle's camera. This image data is used as input for a trained machine learning model that predicts a three-dimensional trajectory of a machine learning feature, which is then used to automatically control the vehicle.

Key Features and Innovation:

• Processor coupled to memory receives image data from a vehicle's camera.
• Trained machine learning model predicts a three-dimensional trajectory of a machine learning feature.
• Three-dimensional trajectory is used for automatic vehicle control.

Potential Applications: This technology can be applied in autonomous vehicles, robotics, surveillance systems, and other fields requiring automated control based on image data analysis.

Problems Solved: This technology addresses the need for accurate and efficient control systems in vehicles and other applications that rely on image data for decision-making.

Benefits:

• Improved accuracy in predicting trajectories based on image data.
• Enhanced automation in vehicle control systems.
• Increased safety and efficiency in various applications.

Commercial Applications: Potential commercial applications include autonomous vehicles, industrial automation, security systems, and smart surveillance technologies that require precise trajectory prediction and control based on image data analysis.

Prior Art: Readers can explore prior research in the fields of machine learning, computer vision, and autonomous systems to understand the evolution of similar technologies.

Frequently Updated Research: Stay informed about advancements in machine learning algorithms, image processing techniques, and autonomous vehicle technologies to enhance the performance and capabilities of this system.

Questions about the Technology: 1. What are the specific machine learning algorithms used in this system? 2. How does the system ensure real-time processing of image data for trajectory prediction?

Original Abstract Submitted

a processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. the image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. the three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.