18055953. METHOD OF ANTICIPATORY CONTROL FOR AUTOMATED DRIVING simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)

METHOD OF ANTICIPATORY CONTROL FOR AUTOMATED DRIVING

Organization Name

GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor(s)

Yubiao Zhang of Sterling Heights MI (US)

Bakhtiar B. Litkouhi of Washington MI (US)

METHOD OF ANTICIPATORY CONTROL FOR AUTOMATED DRIVING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18055953 titled 'METHOD OF ANTICIPATORY CONTROL FOR AUTOMATED DRIVING

Simplified Explanation

The method described in the abstract involves using Model Predictive Control (MPC) to control a vehicle autonomously along a planned path by updating the prediction model in real time with anticipatory constraints and road data.

• Receiving planned path data, road data, and speed profile data
• Determining anticipatory constraints for each step along the planned path
• Using MPC to determine control actions based on the updated prediction model
• Controlling the vehicle to autonomously follow the planned path

Potential Applications

This technology could be applied in autonomous vehicles, robotics, and navigation systems.

Problems Solved

This technology solves the problem of efficiently controlling a vehicle along a planned path in real-time while considering anticipatory constraints and road data.

Benefits

The benefits of this technology include improved accuracy in following planned paths, increased safety, and enhanced efficiency in vehicle control.

Potential Commercial Applications

The potential commercial applications of this technology include autonomous driving systems, delivery robots, and industrial automation.

Possible Prior Art

One possible prior art for this technology could be existing Model Predictive Control systems used in autonomous vehicles or robotics.

How does this technology handle unexpected obstacles or changes in the planned path?

The abstract does not provide information on how the system adapts to unexpected obstacles or changes in the planned path.

What kind of sensors or data inputs are required for this technology to work effectively?

The abstract does not specify the types of sensors or data inputs needed for the system to function optimally.

Original Abstract Submitted

A method includes receiving planned path data, road data, and speed profile data, determining anticipatory constraints for each of the plurality of steps along a planned path using the planned path data, the road data, and the speed profile data, determining a plurality of control actions using a Model Predictive Control (MPC). The prediction model of the MPC is updated in real time with the plurality of anticipatory constraints for each of the plurality of steps along the planned path and the road data for each of the plurality of steps along the planned path. The method further includes controlling the vehicle using the plurality of control actions to cause the vehicle to autonomously follow the planned path.