18059039. CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION DATA simplified abstract (GM Cruise Holdings LLC)
Contents
- 1 CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION 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 Unanswered Questions
- 1.11 Original Abstract Submitted
CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION DATA
Organization Name
Inventor(s)
Kyle Smith of Frankfort IL (US)
CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18059039 titled 'CONVERSION OF SENSOR-BASED PEDESTRIAN MOTION INTO THREE-DIMENSIONAL (3D) ANIMATION DATA
Simplified Explanation
The abstract describes a system and method for generating 3D animation from real-world road data, including a sequence of images of a driving environment with a moving character. The system processes the data to generate skeletal data representing the character's movements over time, outputting a motion library.
- The system includes one or more processing units and computer-readable media storing instructions.
- The operations performed by the system include obtaining real-world road data with images of a driving environment and a moving character, generating skeletal data representing the character's movements, and outputting a motion library.
Potential Applications
This technology could be applied in various industries such as:
- Entertainment industry for creating realistic 3D animations for movies, TV shows, and video games.
- Automotive industry for simulating driving scenarios and testing autonomous vehicles.
Problems Solved
This technology solves the following problems:
- Generating realistic 3D animations from real-world data.
- Simulating human movements accurately in a virtual environment.
Benefits
The benefits of this technology include:
- Improved realism in 3D animations.
- Efficient generation of motion libraries for characters in virtual environments.
Potential Commercial Applications
The potential commercial applications of this technology include:
- Animation studios for creating lifelike characters in movies and video games.
- Virtual reality companies for developing immersive experiences with realistic human movements.
Possible Prior Art
One possible prior art for this technology could be motion capture systems used in the entertainment industry to capture and replicate human movements in 3D animations.
Unanswered Questions
How does the system handle complex movements of the character in the real-world driving environment?
The abstract does not provide details on how the system processes and represents complex movements of the character in the generated skeletal data.
What is the accuracy of the generated motion library compared to the real-world data?
The abstract does not mention any metrics or evaluations of the accuracy of the generated motion library in representing the movements of the character in the real-world driving environment.
Original Abstract Submitted
Systems and methods for generating three-dimensional (3D) animation from real-world road data are provided. For instance, a computer-implemented system comprising one or more processing units; and one or more non-transitory computer-readable media storing instructions, when executed by the one or more processing units, cause the one or more processing units to perform operations comprising obtaining real-world road data including a sequence of images of a real-world driving environment across a time period, the sequence of images including at least one moving character in the real-world driving environment; generating a sequence of skeletal data representing the moving character and corresponding movements across the time period by processing the real-world road data; and outputting a motion library including the sequence of skeletal data.
