Enhanced New Applications & Use Cases Technical Implementation

Publication ID: 24-11858628_0007_PTD

Published: October 31, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Enhanced New Applications & Use Cases Technical Implementation,” Published Technical Disclosure No. 24-11858628_0007_PTD, Published October 31, 2025, available at https://archive.pr1or.art/24-11858628_0007_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,858,628.

Summary of the Inventive Concept

An improved approach to new applications & use cases that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but new applications & use cases presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements new applications & use cases enhancements while maintaining compatibility with the original patent's architecture. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation.

Novelty and Inventive Step

Introduces new technical features and approaches that were not present in the source patent, specifically targeting new applications & use cases improvements.

Alternative Embodiments and Variations

Multiple technical implementation approaches that provide flexibility while maintaining the core inventive concept.

Potential Commercial Applications and Market

Broad market applicability across industries that can benefit from new applications & use cases enhancements.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Autonomous vehicle navigation systems, computer vision, machine learning-based motion planning, and image processing for robotic navigation

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with expertise in robotics, computer vision, machine learning, and autonomous vehicle systems, holding advanced degrees in electrical engineering, computer science, or robotics, with practical experience in developing navigation algorithms and image-based sensing technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that the Published Technical Disclosure (PTD) represents predictable variations and extensions of the source patent's core image-based motion planning approach. The PTD introduces incremental technical improvements that would be apparent to a skilled practitioner familiar with autonomous vehicle navigation systems and machine learning-based image processing techniques. These variations represent standard design choices and iterative enhancements within the established technological framework of the original patent.

Obvious Combinations & Variations

Source Patent Element

Generating a cost function map associating risk values with image regions

PTD Variation

Extending cost function mapping to new applications and use cases with enhanced risk assessment algorithms

Obviousness Reasoning

A PHOSITA would find it obvious to adapt and generalize the cost function mapping technique to different navigation scenarios, as risk assessment is a fundamental challenge in autonomous vehicle systems with predictable solution approaches

Source Patent Element

Machine learning model for determining navigation risk in image regions

PTD Variation

Implementing more sophisticated machine learning architectures for improved risk classification and trajectory planning

Obviousness Reasoning

Iterative improvement of machine learning models represents a standard evolutionary approach in the field, with predictable outcomes and well-understood techniques for enhancing classification accuracy

Source Patent Element

3D trajectory planning based on image-derived cost maps

PTD Variation

Introducing alternative trajectory optimization techniques that build upon the original patent's image-based planning framework

Obviousness Reasoning

Trajectory optimization is a well-established domain with multiple known approaches, and a skilled practitioner would recognize multiple equivalent methods for implementing similar navigation strategies

Source Patent Element

Depth estimation and confidence mapping for navigation risk

PTD Variation

Enhanced depth perception techniques using advanced sensor fusion and probabilistic modeling

Obviousness Reasoning

Improving depth estimation is a predictable area of technical development, with multiple known techniques for increasing accuracy and reliability of environmental perception

Source Patent Element

Image-based risk assessment for autonomous vehicle navigation

PTD Variation

Expanding risk assessment methodologies to cover broader range of environmental conditions and edge cases

Obviousness Reasoning

Generalizing risk assessment techniques across different scenarios represents a natural progression of autonomous navigation technology, with solutions emerging from standard engineering problem-solving approaches

35 U.S.C. § 103 Summary: Based on a comprehensive analysis of US Patent 11858628 and the corresponding Published Technical Disclosure, a person having ordinary skill in the art would find the claimed variations obvious and anticipated, as the technical improvements represent predictable extensions of existing autonomous navigation methodologies, employing standard engineering techniques and well-understood machine learning approaches to incrementally enhance image-based motion planning systems.

Original Patent Information

Patent Number	US 11,858,628
Title	Image space motion planning of an autonomous vehicle
Assignee(s)	Skydio, Inc.