Apollo Autonomous Driving USA LLC (20240246549). ON-BOARD PARAMETER TUNING FOR CONTROL MODULE FOR AUTONOMOUS VEHICLES simplified abstract
Contents
ON-BOARD PARAMETER TUNING FOR CONTROL MODULE FOR AUTONOMOUS VEHICLES
Organization Name
Apollo Autonomous Driving USA LLC
Inventor(s)
Shu Jiang of Sunnyvale CA (US)
Szu-Hao Wu of Sunnyvale CA (US)
Haofeng Kou of Sunnyvale CA (US)
Helen K. Pan of Sunnyvale CA (US)
ON-BOARD PARAMETER TUNING FOR CONTROL MODULE FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240246549 titled 'ON-BOARD PARAMETER TUNING FOR CONTROL MODULE FOR AUTONOMOUS VEHICLES
The abstract describes a patent application where a microcontroller unit (MCU) receives the expected state of an autonomous driving vehicle (ADV) from the ADV's controller, analyzes sensor data to determine the actual state of the ADV, evaluates the performance of the control algorithm, and tunes the control algorithm by adjusting weight values based on the performance metric.
- The MCU receives expected state information from the ADV's controller.
- Sensor data from the ADV is collected and used to determine the actual state of the vehicle.
- The MCU evaluates the performance of the control algorithm based on the expected and actual states.
- When a predetermined condition is met, the MCU adjusts weight values for the control algorithm.
- The tuned control algorithm is then used by the controller to control the ADV.
Potential Applications: - Autonomous vehicles - Robotics - Industrial automation
Problems Solved: - Improving the performance of control algorithms in autonomous systems - Enhancing the accuracy of state estimation in autonomous vehicles
Benefits: - Increased efficiency in autonomous systems - Enhanced safety in autonomous driving - Improved overall performance of control algorithms
Commercial Applications: Title: "Advanced Control Algorithm Tuning System for Autonomous Vehicles" This technology can be utilized in the automotive industry for self-driving cars, in manufacturing for automated processes, and in logistics for autonomous delivery systems.
Questions about the technology: 1. How does the MCU determine the performance metric of the control algorithm? 2. What are the key factors considered when adjusting weight values for the control algorithm?
Frequently Updated Research: Stay updated on advancements in control algorithms for autonomous systems and the integration of AI in autonomous driving technologies.
Original Abstract Submitted
in one embodiment, a microcontroller unit (mcu) receives an expected state of an autonomous driving vehicle (adv) from a controller of the adv, where the controller controls motions of the adv using a control algorithm. the mcu receives sensor data from one or more sensors of the adv. the mcu determine an actual state of the adv based on the sensor data. the mcu determines a performance metric of the control algorithm based on the expected state and the actual state. in response to determining the performance metric has satisfied a predetermined condition, the mcu determines a plurality of weight values for the control algorithm. the mcu sends the plurality of weight values to the control system to tune one or more weight parameters of the control algorithm using the plurality of weight values, where the controller controls the adv using the tuned control algorithm.
