TORC Robotics, Inc. (20240375677). SYSTEMS AND METHODS OF DETERMINING CHANGES IN POSE OF AN AUTONOMOUS VEHICLE simplified abstract
Contents
SYSTEMS AND METHODS OF DETERMINING CHANGES IN POSE OF AN AUTONOMOUS VEHICLE
Organization Name
Inventor(s)
David Thompson of Blacksburg VA (US)
SYSTEMS AND METHODS OF DETERMINING CHANGES IN POSE OF AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240375677 titled 'SYSTEMS AND METHODS OF DETERMINING CHANGES IN POSE OF AN AUTONOMOUS VEHICLE
Simplified Explanation: This patent application describes a vehicle equipped with a sensor that captures images and processors that use machine learning to adjust the vehicle's pose based on the images.
Key Features and Innovation:
- Sensor captures images while the vehicle is in motion.
- Processors use machine learning to analyze images and adjust the vehicle's pose.
- Machine learning model is trained to detect changes in pose based on blurring in images.
- Global position of the vehicle is determined based on the adjusted pose.
- Information is transmitted to an autonomous vehicle controller for control.
Potential Applications: This technology can be used in autonomous vehicles for real-time adjustments to improve navigation and positioning accuracy.
Problems Solved: This technology addresses the need for precise and efficient pose adjustments in autonomous vehicles to enhance overall performance and safety.
Benefits: The technology can lead to more accurate navigation, improved safety, and better overall performance of autonomous vehicles.
Commercial Applications: Title: Autonomous Vehicle Pose Adjustment Technology This technology can be applied in the automotive industry for autonomous vehicles, transportation services, and logistics companies to enhance navigation and control systems.
Prior Art: Prior art related to this technology may include research on machine learning applications in autonomous vehicles and image processing for navigation systems.
Frequently Updated Research: Researchers may be exploring advancements in machine learning algorithms for real-time pose adjustments in autonomous vehicles.
Questions about Autonomous Vehicle Pose Adjustment Technology: 1. How does this technology improve the accuracy of autonomous vehicle navigation? 2. What are the potential implications of using machine learning for pose adjustments in autonomous vehicles?
Original Abstract Submitted
a vehicle comprises a sensor configured to capture images and one or more processors. the one or more processors can be configured to receive a single image from the sensor, the single image captured by the sensor as the autonomous vehicle was moving; execute a machine learning model using the single image as input to generate a change in pose of the autonomous vehicle, the machine learning model trained to output changes in pose of autonomous vehicles based on blurring in individual images; determine a global position of the autonomous vehicle based on the generated change in pose of the autonomous vehicle; and transmit the global position to an autonomous vehicle controller configured to control the autonomous vehicle.
