18647621. DATA PROCESSING METHOD AND APPARATUS simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)
DATA PROCESSING METHOD AND APPARATUS
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Inventor(s)
DATA PROCESSING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18647621 titled 'DATA PROCESSING METHOD AND APPARATUS
Simplified Explanation
The patent application describes a method for determining the pose of a vehicle at different moments based on sensor data and a pose estimation model.
- First pose information of the vehicle at a second moment is determined using pose information from a first moment and a pose estimation model.
- Data collected by sensors is utilized to obtain information for determining the second pose of the vehicle at the second moment.
Key Features and Innovation
- Utilizes sensor data to determine the pose of a vehicle at different moments.
- Incorporates a pose estimation model to calculate the vehicle's pose accurately.
Potential Applications
This technology can be applied in autonomous vehicles, robotics, and navigation systems.
Problems Solved
- Provides a method for accurately determining the pose of a vehicle using sensor data.
- Enables real-time pose estimation for vehicles.
Benefits
- Enhances the accuracy of vehicle pose determination.
- Improves the efficiency of navigation systems.
Commercial Applications
- Autonomous vehicle technology
- Robotics industry
- Navigation systems market
Prior Art
Readers can explore prior art related to pose estimation models and sensor data processing in the field of autonomous vehicles and robotics.
Frequently Updated Research
Stay updated on advancements in sensor data processing and pose estimation models for vehicles.
Questions about Pose Estimation
1. How does this technology improve the accuracy of vehicle pose determination? 2. What are the potential commercial applications of this innovation?
Original Abstract Submitted
Examples of data processing methods and apparatus are described. One example method includes determining first pose information of a vehicle at a second moment based on pose information of the vehicle at a first moment and a first model, where the first model is a pose estimation model from the first moment to the second moment. Data collected by one or more sensors is obtained. Second pose information of the vehicle at the second moment is determined based on the first pose information and the data.
