17938192. TRAJECTORY PLANNING SYSTEM FOR ENSURING MANEUVERS TO AVOID MOVING OBSTACLES EXIST FOR AN AUTONOMOUS VEHICLE simplified abstract (GM Global Technology Operations LLC)

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TRAJECTORY PLANNING SYSTEM FOR ENSURING MANEUVERS TO AVOID MOVING OBSTACLES EXIST FOR AN AUTONOMOUS VEHICLE

Organization Name

GM Global Technology Operations LLC

Inventor(s)

Daniel Aguilar Marsillach of Detroit MI (US)

Yubiao Zhang of Sterling Heights MI (US)

Upali P. Mudalige of Rochester Hills MI (US)

TRAJECTORY PLANNING SYSTEM FOR ENSURING MANEUVERS TO AVOID MOVING OBSTACLES EXIST FOR AN AUTONOMOUS VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17938192 titled 'TRAJECTORY PLANNING SYSTEM FOR ENSURING MANEUVERS TO AVOID MOVING OBSTACLES EXIST FOR AN AUTONOMOUS VEHICLE

The abstract describes a trajectory planning system for an autonomous vehicle that includes controllers communicating with external vehicle networks to collect data on moving obstacles in the vehicle's environment. The controllers determine a position avoidance set based on the relative vehicle state to avoid obstacles while maneuvering, selecting a trajectory for the vehicle to follow during the maneuver.

  • The system includes controllers in communication with external vehicle networks.
  • Data on moving obstacles in the vehicle's environment is collected.
  • A position avoidance set is determined based on the relative vehicle state.
  • The vehicle follows a selected trajectory while maneuvering.

Potential Applications: - Autonomous driving systems - Traffic management systems - Robotics and automation industries

Problems Solved: - Avoiding collisions with moving obstacles - Efficient trajectory planning for autonomous vehicles

Benefits: - Enhanced safety for autonomous vehicles - Improved maneuvering capabilities in complex environments

Commercial Applications: Title: Autonomous Vehicle Trajectory Planning System for Enhanced Safety This technology can be utilized in autonomous vehicles for various industries such as transportation, logistics, and delivery services, enhancing safety and efficiency in operations.

Prior Art: There are existing trajectory planning systems for autonomous vehicles, but this innovation focuses on real-time data collection and dynamic obstacle avoidance.

Frequently Updated Research: Research on real-time obstacle detection and avoidance algorithms for autonomous vehicles is continuously evolving to enhance safety and efficiency in autonomous driving systems.

Questions about Autonomous Vehicle Trajectory Planning System: 1. How does the system differentiate between different types of moving obstacles? 2. What are the potential challenges in implementing this trajectory planning system in real-world scenarios?


Original Abstract Submitted

A trajectory planning system for an autonomous vehicle includes one or more controllers in electronic communication with one or more external vehicle networks that collect data with respect to one or more moving obstacles located in an environment surrounding the autonomous vehicle. The one or more controllers determine, based on the discrete-time relative vehicle state, a position avoidance set representing relative lateral positions and longitudinal positions that the autonomous vehicle avoids while bypassing the one or more moving obstacles when performing a maneuver. The one or more controllers select a trajectory from the plurality of relative state trajectories for the autonomous vehicle, where the autonomous vehicle follows the trajectory while performing the maneuver.

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