GM Cruise Holdings LLC (20240317255). PLANNING SYSTEMS FOR AUTONOMOUS VEHICLES simplified abstract

PLANNING SYSTEMS FOR AUTONOMOUS VEHICLES

Organization Name

GM Cruise Holdings LLC

Inventor(s)

Anisha Mocherla of Chicago IL (US)

Enrique Fernandez Gonzalez of San Francisco CA (US)

Michael Rusignola of Burlingame CA (US)

Joseph Lowman of San Francisco CA (US)

Allen Tang of Millbrae CA (US)

Andrew Robinson of San Francisco CA (US)

Xiaoyu Zhou of San Francisco CA (US)

PLANNING SYSTEMS FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240317255 titled 'PLANNING SYSTEMS FOR AUTONOMOUS VEHICLES

Simplified Explanation: The patent application discusses systems and techniques for using different planners for autonomous driving. It involves switching between planners based on sensor data to perform maneuvers that deviate from the restrictions of the current planner.

• Key Features and Innovation:

   - Determining maneuvers based on sensor data
   - Identifying a second planner that supports deviations from the first planner
   - Triggering a switch between planners based on the state of the autonomous vehicle
   - Maneuvering the vehicle using the first planner until the switch is triggered
   - Autonomous switching from the first planner to the second planner once the state is satisfied

Potential Applications: This technology can be applied in autonomous vehicles, robotics, and other systems that require dynamic planning and maneuvering capabilities.

Problems Solved: This technology addresses the challenge of efficiently switching between planners to accommodate different maneuvers and restrictions in autonomous driving scenarios.

Benefits: - Improved flexibility and adaptability in autonomous driving systems - Enhanced safety and efficiency in maneuvering complex scenarios - Optimal utilization of different planners based on specific requirements

Commercial Applications: Title: Advanced Autonomous Driving Systems with Dynamic Planner Switching This technology can be utilized in the automotive industry for self-driving cars, logistics companies for autonomous delivery vehicles, and in industrial automation for robotic systems.

Prior Art: Readers can explore prior research on autonomous vehicle planning systems, dynamic planner switching, and sensor-based maneuvering techniques in the field of robotics and artificial intelligence.

Frequently Updated Research: Researchers are continuously exploring advancements in autonomous driving technologies, including real-time planner switching algorithms, sensor fusion techniques, and adaptive control strategies.

Questions about Autonomous Driving Systems with Dynamic Planner Switching: 1. How does this technology improve the efficiency of autonomous vehicles in complex driving scenarios? 2. What are the key factors to consider when implementing dynamic planner switching in autonomous systems?

Original Abstract Submitted

systems and techniques are provided for using different planners for autonomous driving. an example method can include determining, based on sensor data from one or more sensors of an autonomous vehicle (av), a maneuver to be performed by the av according to one or more parameters that deviate from one or more restrictions of a first planner being used by the av to navigate a scene; identifying a second planner of the av that supports the one or more parameters that deviate from the one or more restrictions of the first planner; determining a state of the av selected to trigger a switch from the first planner to the second planner; maneuvering the av using the first planner until the state of the av is satisfied; and in response to determining that the state of the av is satisfied, autonomously switching from the first planner to the second planner.