Baidu USA LLC (20240353545). CLOUD BASED SCANNING FOR DETECTION OF SENSORS MALFUNCTION FOR AUTONOMOUS VEHICLES simplified abstract
Contents
CLOUD BASED SCANNING FOR DETECTION OF SENSORS MALFUNCTION FOR AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
TIANJIA Sun of Sunnyvale CA (US)
YAOMING Shen of Sunnyvale CA (US)
BAOPING Yuan of Sunnyvale CA (US)
CLOUD BASED SCANNING FOR DETECTION OF SENSORS MALFUNCTION FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240353545 titled 'CLOUD BASED SCANNING FOR DETECTION OF SENSORS MALFUNCTION FOR AUTONOMOUS VEHICLES
Simplified Explanation:
The patent application describes a system that detects abnormalities in point cloud data generated by a scanner device in an autonomous driving vehicle. If an abnormality is detected above a certain severity threshold, the system issues a warning to inspect the scanner device for hardware malfunctions.
Key Features and Innovation:
- System detects abnormalities in point cloud data from a scanner device in an autonomous driving vehicle.
- Utilizes abnormality detection algorithms to determine the type and severity of abnormalities.
- Issues a warning if abnormalities are above a severity threshold, prompting inspection of the scanner device for hardware malfunctions.
Potential Applications: This technology can be applied in various industries such as autonomous vehicles, robotics, and quality control systems where accurate data collection is crucial.
Problems Solved: The system addresses the need for early detection of abnormalities in point cloud data to prevent potential hardware malfunctions in autonomous driving vehicles.
Benefits:
- Enhances safety by ensuring the proper functioning of scanner devices in autonomous vehicles.
- Improves maintenance efficiency by alerting to potential hardware issues before they escalate.
Commercial Applications: Title: Advanced Abnormality Detection System for Autonomous Vehicles This technology can be commercially used in the automotive industry for autonomous vehicle maintenance and quality control systems, ensuring the safety and reliability of autonomous driving technology.
Questions about Advanced Abnormality Detection System for Autonomous Vehicles: 1. How does the system determine the severity threshold for abnormalities in the point cloud data? 2. What are the specific abnormality detection algorithms used in the system?
Frequently Updated Research: Stay updated on advancements in abnormality detection algorithms and hardware inspection technologies to enhance the efficiency and accuracy of the system.
Original Abstract Submitted
in one embodiment, a system obtains first point cloud data generated by a first scanner device of a first autonomous driving vehicle (adv). the system applies one or more abnormality detection algorithms to the first point cloud data to determine an abnormality in the first point cloud data. the system determines an abnormality type for the abnormality. the system determines the abnormality is above a severity threshold based on the abnormality type. in response to determining that the abnormality is above the severity threshold, the system indicates a warning to inspect the first scanner device for any hardware malfunctions.
