20240017731. DRIVE-THROUGH CALIBRATION PROCESS simplified abstract (GM Cruise Holdings LLC)

DRIVE-THROUGH CALIBRATION PROCESS

Organization Name

GM Cruise Holdings LLC

Inventor(s)

Juan Fasola of SAN FRANCISCO CA (US)

Ankit Rohatgi of Pacifica CA (US)

Alexandri Zavodny of SAN FRANCISCO CA (US)

Zhizhong Yan of SAN FRANCISCO CA (US)

Pragya Agrawal of Sunnyvale CA (US)

Mayur Shah of Pleasanton CA (US)

Syed Aziz Enam of Fremont CA (US)

Morgan Wessel of SAN FRANCISCO CA (US)

Joseph Thibeault of SAN FRANCISCO CA (US)

DRIVE-THROUGH CALIBRATION PROCESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240017731 titled 'DRIVE-THROUGH CALIBRATION PROCESS

Simplified Explanation

The abstract of this patent application describes a system, methods, and computer-readable media for a calibration check process of sensors on an autonomous vehicle (AV) using a drive-through environment mapped with targets. The targets are used to check the calibration of the AV's sensors as a quality check before the AV is allowed to drive autonomously. The calibration process involves collecting data from the sensors based on exposure to a series of targets or augmented camera targets. The collected data can be used for extrinsic calibration to determine the rigid relationship between sensors within set checker bounds.

• The patent application describes a calibration check process for sensors on an autonomous vehicle.
• The process involves using a drive-through environment mapped with targets to check the calibration of the sensors.
• Data is collected from the sensors based on exposure to the targets or augmented camera targets.
• The collected data can be used for extrinsic calibration to determine the relationship between sensors.
• The calibration process ensures that the sensors are within set checker bounds before the autonomous vehicle is allowed to drive autonomously.

Potential Applications:

• Autonomous vehicles: This technology can be applied to ensure the accurate calibration of sensors on autonomous vehicles, improving their safety and reliability.

Problems Solved:

• Sensor calibration: The technology solves the problem of ensuring the accurate calibration of sensors on autonomous vehicles, which is crucial for their proper functioning and safety.

Benefits:

• Improved safety: Accurate sensor calibration ensures that autonomous vehicles can make reliable decisions, leading to improved safety on the roads.
• Enhanced reliability: By checking the calibration of sensors before autonomous driving, the technology improves the overall reliability of autonomous vehicles.
• Quality assurance: The calibration check process acts as a quality check, ensuring that the sensors on autonomous vehicles meet the required standards before driving autonomously.

Original Abstract Submitted

system, methods, and computer-readable media for a calibration check process of sensors on an autonomous vehicle (av) via a drive-through environment mapped with a series of targets. the targets are used to check the calibration of the sensors on the av as a quality check before the av is determined fit to drive autonomously. supervising a calibration process that collects data from the sensors on the av based on exposure to a series of targets or augmented camera targets. the collected data may be used for extrinsic calibration aimed to determine that extrinsic parameters that define the rigid relationship between sensors are in set checker bounds.