Waymo llc (20240219203). Methods and Systems for Calibrating Sensors Using Road Map Data simplified abstract
Contents
Methods and Systems for Calibrating Sensors Using Road Map Data
Organization Name
Inventor(s)
Dave Ferguson of Mountain View CA (US)
Dorel Ionut Iordache of Mountain View CA (US)
Methods and Systems for Calibrating Sensors Using Road Map Data - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240219203 titled 'Methods and Systems for Calibrating Sensors Using Road Map Data
Simplified Explanation: The patent application discusses methods and systems for calibrating sensors in autonomous vehicles using road map data. By comparing sensor information with map data, the vehicle can adjust sensor parameters to accurately reflect the environment.
Key Features and Innovation:
- Calibrating sensors in autonomous vehicles using road map data
- Comparing sensor information with map data to make adjustments
- Adjusting sensor parameters such as position, height, orientation based on map data
Potential Applications: This technology can be applied in autonomous vehicles, robotics, and other sensor-based systems requiring accurate environmental perception.
Problems Solved: This technology addresses the challenge of accurately calibrating sensors in autonomous vehicles to improve navigation and decision-making processes.
Benefits:
- Enhanced accuracy in sensor readings
- Improved navigation and decision-making capabilities
- Increased safety and efficiency in autonomous vehicles
Commercial Applications: The technology can be utilized in the automotive industry for self-driving cars, in logistics for automated systems, and in robotics for precise environmental sensing.
Questions about the Technology: 1. How does this technology improve the overall performance of autonomous vehicles? 2. What are the potential limitations of calibrating sensors using road map data?
Frequently Updated Research: Ongoing research in this field focuses on optimizing sensor calibration algorithms for real-time applications and enhancing the integration of map data with sensor readings.
Original Abstract Submitted
example methods and systems for calibrating sensors using road map data are provided. an autonomous vehicle may use various vehicle sensors to assist in navigation. within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). the autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. in some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.
