20240012106. MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT simplified abstract (GM Cruise Holdings LLC)
MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT
Organization Name
Inventor(s)
Juan Fasola of San Francisco CA (US)
Ankit Rohatgi of Pacifica CA (US)
Zhonghua Ma of San Jose CA (US)
MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240012106 titled 'MULTIPLE SENSOR CALIBRATION IN AUTONOMOUS VEHICLES PERFORMED IN AN UNDEFINED ENVIRONMENT
Simplified Explanation
The abstract of the patent application describes a method for calibrating the sensors of an autonomous vehicle (AV) on open roads after initially calibrating them in a training area. The method involves performing a series of training steps of increasing complexity within the training area to calibrate the sensors, determining if the AV meets the requirements to navigate open roads based on the completion of these training steps, and operating the AV on open roads with certain constraints.
- The method involves calibrating multiple sensors of the AV by performing a series of training steps in an undefined environment.
- The sensors of the AV are initially uncalibrated with respect to each other.
- The completion of the training steps in the undefined environment determines if the AV is ready to navigate open roads.
- The AV is operated on open roads subject to at least one constraint, such as a list of prohibited maneuvers that limit its operation.
Potential Applications:
- Autonomous vehicles: This technology can be applied to the calibration and operation of sensors in autonomous vehicles, enabling them to navigate open roads safely and efficiently.
Problems Solved:
- Sensor calibration: The method solves the problem of calibrating multiple sensors of an autonomous vehicle in an undefined environment, ensuring their accuracy and reliability for open road navigation.
- Open road navigation: By determining if the AV satisfies the open road requirement, the method solves the problem of ensuring that the AV is capable of safely navigating open roads.
Benefits:
- Improved sensor accuracy: The calibration process increases the accuracy of the sensors, enhancing the AV's perception of its surroundings and improving its decision-making capabilities.
- Safe open road navigation: By determining if the AV satisfies the open road requirement and operating it with constraints, the method ensures safe navigation on open roads, reducing the risk of accidents or incidents.
Original Abstract Submitted
the subject technology is related to autonomous vehicles (av) and, in particular, to calibration of an sensors of an av on open roads after calibrating the sensors in an undefined training area. an example method includes calibrating a plurality of sensors of the av based on performing a plurality of training steps of increasing complexity within the undefined environment, wherein the plurality of sensors of the av are uncalibrated with respect to each other, determining that the av satisfies an open road requirement to navigate an open road based on completing the plurality of training steps in the undefined environment, and operating the av on open roads subject to at least one constraint. the method of claim , wherein the at least one constraint comprises a list of prohibited maneuvers that limit operation of the av on open roads. the constraints are configured to dynamically change.
