Difference between revisions of "WAYMO LLC patent applications published on March 21st, 2024"
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+ | '''Summary of the patent applications from WAYMO LLC on March 21st, 2024''' | ||
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+ | Recent patents filed by WAYMO LLC focus on innovative methods and systems for object detection and classification using machine learning models, training neural networks with depth ground truth data, and testing electrical devices efficiently. These patents aim to improve accuracy and efficiency in various applications such as autonomous driving, robotics, and quality control in manufacturing. | ||
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+ | Summary of Recent Patents: | ||
+ | - Object detection and classification using machine learning models with bird's-eye view representation and depth ground truth data. | ||
+ | - Training neural networks for semantic segmentation on point cloud data for accurate object detection and scene understanding. | ||
+ | - Testing electrical devices by transmitting and comparing data patterns to ensure proper functioning and resonant frequencies. | ||
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+ | Notable Applications: | ||
+ | * Autonomous driving for enhanced safety and efficiency. | ||
+ | * Robotics for improved performance and accuracy. | ||
+ | * Quality control in manufacturing for reliable testing of electrical devices. | ||
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==Patent applications for WAYMO LLC on March 21st, 2024== | ==Patent applications for WAYMO LLC on March 21st, 2024== | ||
Latest revision as of 08:14, 27 March 2024
Summary of the patent applications from WAYMO LLC on March 21st, 2024
Recent patents filed by WAYMO LLC focus on innovative methods and systems for object detection and classification using machine learning models, training neural networks with depth ground truth data, and testing electrical devices efficiently. These patents aim to improve accuracy and efficiency in various applications such as autonomous driving, robotics, and quality control in manufacturing.
Summary of Recent Patents: - Object detection and classification using machine learning models with bird's-eye view representation and depth ground truth data. - Training neural networks for semantic segmentation on point cloud data for accurate object detection and scene understanding. - Testing electrical devices by transmitting and comparing data patterns to ensure proper functioning and resonant frequencies.
Notable Applications:
- Autonomous driving for enhanced safety and efficiency.
- Robotics for improved performance and accuracy.
- Quality control in manufacturing for reliable testing of electrical devices.
Contents
- 1 Patent applications for WAYMO LLC on March 21st, 2024
- 1.1 Detecting and Responding to Malfunctioning Traffic Lights (18522528)
- 1.2 CARRIER EXTRACTION FROM SEMICONDUCTING WAVEGUIDES IN HIGH-POWER LIDAR APPLICATIONS (17947976)
- 1.3 Methods and Systems for Dithering Active Sensor Pulse Emissions (18524343)
- 1.4 SiPM with Cells of Different Sizes (18522719)
- 1.5 LIDAR SYSTEMS WITH PLANAR MULTI-PIXEL SENSING ARRAYS (17947988)
- 1.6 Vehicle Sensor Verification and Calibration (18514086)
- 1.7 EXTERNAL INDICATION HANDLING FOR AUTONOMOUS DRIVING SYSTEMS (18520509)
- 1.8 Memory Validation (18523433)
- 1.9 SEMANTIC SEGMENTATION NEURAL NETWORK FOR POINT CLOUDS (17945325)
- 1.10 OBJECT IDENTIFICATION IN BIRD'S-EYE VIEW REFERENCE FRAME WITH EXPLICIT DEPTH ESTIMATION CO-TRAINING (17884356)
Patent applications for WAYMO LLC on March 21st, 2024
Detecting and Responding to Malfunctioning Traffic Lights (18522528)
Main Inventor
David Silver
CARRIER EXTRACTION FROM SEMICONDUCTING WAVEGUIDES IN HIGH-POWER LIDAR APPLICATIONS (17947976)
Main Inventor
Alexander Yukio Piggott
Methods and Systems for Dithering Active Sensor Pulse Emissions (18524343)
Main Inventor
Michael Marx
SiPM with Cells of Different Sizes (18522719)
Main Inventor
Caner Onal
LIDAR SYSTEMS WITH PLANAR MULTI-PIXEL SENSING ARRAYS (17947988)
Main Inventor
Alexander Yukio Piggott
Vehicle Sensor Verification and Calibration (18514086)
Main Inventor
Stephanie McArthur
EXTERNAL INDICATION HANDLING FOR AUTONOMOUS DRIVING SYSTEMS (18520509)
Main Inventor
Vijaysai Patnaik
Memory Validation (18523433)
Main Inventor
Sabareeshkumar Ravikumar
SEMANTIC SEGMENTATION NEURAL NETWORK FOR POINT CLOUDS (17945325)
Main Inventor
Yin Zhou
OBJECT IDENTIFICATION IN BIRD'S-EYE VIEW REFERENCE FRAME WITH EXPLICIT DEPTH ESTIMATION CO-TRAINING (17884356)
Main Inventor
Albert Zhao