Gm global technology operations llc (20240227845). SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION simplified abstract
Contents
SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION
Organization Name
gm global technology operations llc
Inventor(s)
Alireza Esna Ashari Esfahani of Novi MI (US)
SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240227845 titled 'SYSTEM FOR MOTION PLANNING WITH NATURAL LANGUAGE COMMAND INTERPRETATION
- Simplified Explanation:**
The patent application describes a system for motion planning for a vehicle that analyzes natural language commands related to the vehicle's environment. It generates rules with conditions and results to determine driving actions. A driving action mask is created to adjust the probability of selecting certain actions based on rule criteria.
- Key Features and Innovation:**
- Analysis of natural language commands for vehicle motion planning - Generation of rules with conditions and results - Creation of a driving action mask to adjust action probabilities based on rule criteria
- Potential Applications:**
- Autonomous vehicles - Robotics - Smart transportation systems
- Problems Solved:**
- Efficient motion planning based on natural language commands - Improved decision-making for driving actions - Enhanced safety and control in vehicle operations
- Benefits:**
- Streamlined communication between users and vehicles - Increased automation in driving tasks - Enhanced adaptability to changing environments
- Commercial Applications:**
Title: "Natural Language-Based Motion Planning System for Vehicles" This technology can be utilized in autonomous vehicles, robotics for industrial applications, and smart transportation systems to improve efficiency and safety in operations. The market implications include increased demand for advanced motion planning systems in various industries.
- Prior Art:**
Potential areas to search for prior art related to this technology include patents or research papers on natural language processing for vehicle control systems, motion planning algorithms for autonomous vehicles, and rule-based decision-making in robotics.
- Frequently Updated Research:**
Researchers may be exploring advancements in natural language processing algorithms for real-time vehicle control, integration of machine learning techniques for improved decision-making in motion planning, and the development of adaptive systems for dynamic environments.
- Questions about Natural Language-Based Motion Planning System for Vehicles:**
1. How does this technology improve the efficiency of motion planning for vehicles? 2. What are the key advantages of using natural language commands for vehicle control and decision-making?
Original Abstract Submitted
a system for motion planning for a vehicle includes a processor that is programmed to analyze text data representing a natural language command related to an environment of the vehicle. the system generates a rule with an associated condition criterion portion and a result portion. for each potential driving action of a set of potential driving actions of the vehicle, the system determines whether the potential driving action contradicts the result portion of the rule. a driving action mask is generated that includes, for each potential driving action of the set of potential driving actions of the vehicle, a corresponding mask parameter. if the potential driving action contradicts the result portion of the rule, then the corresponding mask parameter acts to decrease a probability of selection of that potential driving action in a motion planning decision. the condition criterion portion is evaluated to determine whether the mask is applicable and if the mask is applicable, the driving action mask is used to determine a motion planning decision for the vehicle. a rule expiration criterion may also be evaluated to determine whether a rule is expired.
